-
Essential Duties and Responsibilities:
- Lead, develop, collaborate, and advance the applied and responsible use of AI, ML, mathematical, and data science solutions throughout the enterprise by finding the right fit of tools, technologies, methodologies, processes, and automation to enable effective and efficient solutions for each unique situation.
Lead the use of applied mathematical analyses to provide solutions.
- Lead efforts across the enterprise to support the creation of solutions and real mission outcomes, emphasizing and teaching the ability to flex and demonstrate initiative when dealing with ambiguous and fast-paced situations.
- Act as technical translator and role model for effectively articulating and translating technical needs, solutions, outputs, and impacts to all levels, regardless of technical proficiency, in a respectful, collaborative, and situationally appropriate manner.
- Maintain deep, current knowledge of the AI technology landscape and emerging developments, evaluating their applicability for use in production/operational environments.
- Lead the creation, curation, and promotion of playbooks, best practices, lessons learned, and firm intellectual capital.
Job-Specific Essential Duties and Responsibilities:
- Design, develop, and deploy (AI) Machine Learning, Deep Learning models that support business objectives and enhance product functionality.
- Demonstrated knowledge in designing, building, testing, and deploying machine models.
- Collaborate with software engineers and data scientists to integrate trained models into production environments and ensure scalable performance.
- Proficient in using Python, have good working knowledge of R, and other programming languages to develop data pipelines, preprocessing routines to clean up data, and model automation workflows as needed.
- Apply knowledge of data structures, algorithms, and statistics to ensure model accuracy, efficiency, and reliability.
- Work with large language models (LLMs) such as ChatGPT, Gemini, or Meta LLMs, including OpenAI API integration and prompt optimization.
- Preferably to have worked with LangChain family of products, MCP, and other integration technologies with databases and other knowledge artifacts
- Implement and maintain MLOps practices for continuous training, deployment, and monitoring of AI models.
- Evaluate and adopt emerging AI tools, frameworks, and methodologies to
improve system performance and development efficiency.
- Collaborate cross-functionally to identify opportunities for AI applications and translate business requirements into technical solutions.
- Document system design, model performance, and process workflows to support transparency, reproducibility, and future improvements.
Minimum Requirements
- Bachelor's degree in relevant field of study and 7+ years of relevant professional experience required, or equivalent combination of education and experience.
Job-Specific Minimum Requirements:
- A bach...
....Read more...
Type: Permanent Location: Columbus, US-GA
Salary / Rate: Not Specified
Posted: 2026-04-04 08:04:13
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Essential Duties and Responsibilities:
- Lead, develop, collaborate, and advance the applied and responsible use of AI, ML, mathematical, and data science solutions throughout the enterprise by finding the right fit of tools, technologies, methodologies, processes, and automation to enable effective and efficient solutions for each unique situation.
Lead the use of applied mathematical analyses to provide solutions.
- Lead efforts across the enterprise to support the creation of solutions and real mission outcomes, emphasizing and teaching the ability to flex and demonstrate initiative when dealing with ambiguous and fast-paced situations.
- Act as technical translator and role model for effectively articulating and translating technical needs, solutions, outputs, and impacts to all levels, regardless of technical proficiency, in a respectful, collaborative, and situationally appropriate manner.
- Maintain deep, current knowledge of the AI technology landscape and emerging developments, evaluating their applicability for use in production/operational environments.
- Lead the creation, curation, and promotion of playbooks, best practices, lessons learned, and firm intellectual capital.
Job-Specific Essential Duties and Responsibilities:
- Design, develop, and deploy (AI) Machine Learning, Deep Learning models that support business objectives and enhance product functionality.
- Demonstrated knowledge in designing, building, testing, and deploying machine models.
- Collaborate with software engineers and data scientists to integrate trained models into production environments and ensure scalable performance.
- Proficient in using Python, have good working knowledge of R, and other programming languages to develop data pipelines, preprocessing routines to clean up data, and model automation workflows as needed.
- Apply knowledge of data structures, algorithms, and statistics to ensure model accuracy, efficiency, and reliability.
- Work with large language models (LLMs) such as ChatGPT, Gemini, or Meta LLMs, including OpenAI API integration and prompt optimization.
- Preferably to have worked with LangChain family of products, MCP, and other integration technologies with databases and other knowledge artifacts
- Implement and maintain MLOps practices for continuous training, deployment, and monitoring of AI models.
- Evaluate and adopt emerging AI tools, frameworks, and methodologies to
improve system performance and development efficiency.
- Collaborate cross-functionally to identify opportunities for AI applications and translate business requirements into technical solutions.
- Document system design, model performance, and process workflows to support transparency, reproducibility, and future improvements.
Minimum Requirements
- Bachelor's degree in relevant field of study and 7+ years of relevant professional experience required, or equivalent combination of education and experience.
Job-Specific Minimum Requirements:
- A bach...
....Read more...
Type: Permanent Location: Tampa, US-FL
Salary / Rate: Not Specified
Posted: 2026-04-04 08:04:13
-
Essential Duties and Responsibilities:
- Lead, develop, collaborate, and advance the applied and responsible use of AI, ML, mathematical, and data science solutions throughout the enterprise by finding the right fit of tools, technologies, methodologies, processes, and automation to enable effective and efficient solutions for each unique situation.
Lead the use of applied mathematical analyses to provide solutions.
- Lead efforts across the enterprise to support the creation of solutions and real mission outcomes, emphasizing and teaching the ability to flex and demonstrate initiative when dealing with ambiguous and fast-paced situations.
- Act as technical translator and role model for effectively articulating and translating technical needs, solutions, outputs, and impacts to all levels, regardless of technical proficiency, in a respectful, collaborative, and situationally appropriate manner.
- Maintain deep, current knowledge of the AI technology landscape and emerging developments, evaluating their applicability for use in production/operational environments.
- Lead the creation, curation, and promotion of playbooks, best practices, lessons learned, and firm intellectual capital.
Job-Specific Essential Duties and Responsibilities:
- Design, develop, and deploy (AI) Machine Learning, Deep Learning models that support business objectives and enhance product functionality.
- Demonstrated knowledge in designing, building, testing, and deploying machine models.
- Collaborate with software engineers and data scientists to integrate trained models into production environments and ensure scalable performance.
- Proficient in using Python, have good working knowledge of R, and other programming languages to develop data pipelines, preprocessing routines to clean up data, and model automation workflows as needed.
- Apply knowledge of data structures, algorithms, and statistics to ensure model accuracy, efficiency, and reliability.
- Work with large language models (LLMs) such as ChatGPT, Gemini, or Meta LLMs, including OpenAI API integration and prompt optimization.
- Preferably to have worked with LangChain family of products, MCP, and other integration technologies with databases and other knowledge artifacts
- Implement and maintain MLOps practices for continuous training, deployment, and monitoring of AI models.
- Evaluate and adopt emerging AI tools, frameworks, and methodologies to
improve system performance and development efficiency.
- Collaborate cross-functionally to identify opportunities for AI applications and translate business requirements into technical solutions.
- Document system design, model performance, and process workflows to support transparency, reproducibility, and future improvements.
Minimum Requirements
- Bachelor's degree in relevant field of study and 7+ years of relevant professional experience required, or equivalent combination of education and experience.
Job-Specific Minimum Requirements:
- A bach...
....Read more...
Type: Permanent Location: Tallahassee, US-FL
Salary / Rate: Not Specified
Posted: 2026-04-04 08:04:12
-
Essential Duties and Responsibilities:
- Lead, develop, collaborate, and advance the applied and responsible use of AI, ML, mathematical, and data science solutions throughout the enterprise by finding the right fit of tools, technologies, methodologies, processes, and automation to enable effective and efficient solutions for each unique situation.
Lead the use of applied mathematical analyses to provide solutions.
- Lead efforts across the enterprise to support the creation of solutions and real mission outcomes, emphasizing and teaching the ability to flex and demonstrate initiative when dealing with ambiguous and fast-paced situations.
- Act as technical translator and role model for effectively articulating and translating technical needs, solutions, outputs, and impacts to all levels, regardless of technical proficiency, in a respectful, collaborative, and situationally appropriate manner.
- Maintain deep, current knowledge of the AI technology landscape and emerging developments, evaluating their applicability for use in production/operational environments.
- Lead the creation, curation, and promotion of playbooks, best practices, lessons learned, and firm intellectual capital.
Job-Specific Essential Duties and Responsibilities:
- Design, develop, and deploy (AI) Machine Learning, Deep Learning models that support business objectives and enhance product functionality.
- Demonstrated knowledge in designing, building, testing, and deploying machine models.
- Collaborate with software engineers and data scientists to integrate trained models into production environments and ensure scalable performance.
- Proficient in using Python, have good working knowledge of R, and other programming languages to develop data pipelines, preprocessing routines to clean up data, and model automation workflows as needed.
- Apply knowledge of data structures, algorithms, and statistics to ensure model accuracy, efficiency, and reliability.
- Work with large language models (LLMs) such as ChatGPT, Gemini, or Meta LLMs, including OpenAI API integration and prompt optimization.
- Preferably to have worked with LangChain family of products, MCP, and other integration technologies with databases and other knowledge artifacts
- Implement and maintain MLOps practices for continuous training, deployment, and monitoring of AI models.
- Evaluate and adopt emerging AI tools, frameworks, and methodologies to
improve system performance and development efficiency.
- Collaborate cross-functionally to identify opportunities for AI applications and translate business requirements into technical solutions.
- Document system design, model performance, and process workflows to support transparency, reproducibility, and future improvements.
Minimum Requirements
- Bachelor's degree in relevant field of study and 7+ years of relevant professional experience required, or equivalent combination of education and experience.
Job-Specific Minimum Requirements:
- A bach...
....Read more...
Type: Permanent Location: Atlanta, US-GA
Salary / Rate: Not Specified
Posted: 2026-04-04 08:04:12
-
Essential Duties and Responsibilities:
- Lead, develop, collaborate, and advance the applied and responsible use of AI, ML, mathematical, and data science solutions throughout the enterprise by finding the right fit of tools, technologies, methodologies, processes, and automation to enable effective and efficient solutions for each unique situation.
Lead the use of applied mathematical analyses to provide solutions.
- Lead efforts across the enterprise to support the creation of solutions and real mission outcomes, emphasizing and teaching the ability to flex and demonstrate initiative when dealing with ambiguous and fast-paced situations.
- Act as technical translator and role model for effectively articulating and translating technical needs, solutions, outputs, and impacts to all levels, regardless of technical proficiency, in a respectful, collaborative, and situationally appropriate manner.
- Maintain deep, current knowledge of the AI technology landscape and emerging developments, evaluating their applicability for use in production/operational environments.
- Lead the creation, curation, and promotion of playbooks, best practices, lessons learned, and firm intellectual capital.
Job-Specific Essential Duties and Responsibilities:
- Design, develop, and deploy (AI) Machine Learning, Deep Learning models that support business objectives and enhance product functionality.
- Demonstrated knowledge in designing, building, testing, and deploying machine models.
- Collaborate with software engineers and data scientists to integrate trained models into production environments and ensure scalable performance.
- Proficient in using Python, have good working knowledge of R, and other programming languages to develop data pipelines, preprocessing routines to clean up data, and model automation workflows as needed.
- Apply knowledge of data structures, algorithms, and statistics to ensure model accuracy, efficiency, and reliability.
- Work with large language models (LLMs) such as ChatGPT, Gemini, or Meta LLMs, including OpenAI API integration and prompt optimization.
- Preferably to have worked with LangChain family of products, MCP, and other integration technologies with databases and other knowledge artifacts
- Implement and maintain MLOps practices for continuous training, deployment, and monitoring of AI models.
- Evaluate and adopt emerging AI tools, frameworks, and methodologies to
improve system performance and development efficiency.
- Collaborate cross-functionally to identify opportunities for AI applications and translate business requirements into technical solutions.
- Document system design, model performance, and process workflows to support transparency, reproducibility, and future improvements.
Minimum Requirements
- Bachelor's degree in relevant field of study and 7+ years of relevant professional experience required, or equivalent combination of education and experience.
Job-Specific Minimum Requirements:
- A bach...
....Read more...
Type: Permanent Location: Miami, US-FL
Salary / Rate: Not Specified
Posted: 2026-04-04 08:04:11
-
Essential Duties and Responsibilities:
- Lead, develop, collaborate, and advance the applied and responsible use of AI, ML, mathematical, and data science solutions throughout the enterprise by finding the right fit of tools, technologies, methodologies, processes, and automation to enable effective and efficient solutions for each unique situation.
Lead the use of applied mathematical analyses to provide solutions.
- Lead efforts across the enterprise to support the creation of solutions and real mission outcomes, emphasizing and teaching the ability to flex and demonstrate initiative when dealing with ambiguous and fast-paced situations.
- Act as technical translator and role model for effectively articulating and translating technical needs, solutions, outputs, and impacts to all levels, regardless of technical proficiency, in a respectful, collaborative, and situationally appropriate manner.
- Maintain deep, current knowledge of the AI technology landscape and emerging developments, evaluating their applicability for use in production/operational environments.
- Lead the creation, curation, and promotion of playbooks, best practices, lessons learned, and firm intellectual capital.
Job-Specific Essential Duties and Responsibilities:
- Design, develop, and deploy (AI) Machine Learning, Deep Learning models that support business objectives and enhance product functionality.
- Demonstrated knowledge in designing, building, testing, and deploying machine models.
- Collaborate with software engineers and data scientists to integrate trained models into production environments and ensure scalable performance.
- Proficient in using Python, have good working knowledge of R, and other programming languages to develop data pipelines, preprocessing routines to clean up data, and model automation workflows as needed.
- Apply knowledge of data structures, algorithms, and statistics to ensure model accuracy, efficiency, and reliability.
- Work with large language models (LLMs) such as ChatGPT, Gemini, or Meta LLMs, including OpenAI API integration and prompt optimization.
- Preferably to have worked with LangChain family of products, MCP, and other integration technologies with databases and other knowledge artifacts
- Implement and maintain MLOps practices for continuous training, deployment, and monitoring of AI models.
- Evaluate and adopt emerging AI tools, frameworks, and methodologies to
improve system performance and development efficiency.
- Collaborate cross-functionally to identify opportunities for AI applications and translate business requirements into technical solutions.
- Document system design, model performance, and process workflows to support transparency, reproducibility, and future improvements.
Minimum Requirements
- Bachelor's degree in relevant field of study and 7+ years of relevant professional experience required, or equivalent combination of education and experience.
Job-Specific Minimum Requirements:
- A bach...
....Read more...
Type: Permanent Location: Savannah, US-GA
Salary / Rate: Not Specified
Posted: 2026-04-04 08:04:10
-
Essential Duties and Responsibilities:
- Lead, develop, collaborate, and advance the applied and responsible use of AI, ML, mathematical, and data science solutions throughout the enterprise by finding the right fit of tools, technologies, methodologies, processes, and automation to enable effective and efficient solutions for each unique situation.
Lead the use of applied mathematical analyses to provide solutions.
- Lead efforts across the enterprise to support the creation of solutions and real mission outcomes, emphasizing and teaching the ability to flex and demonstrate initiative when dealing with ambiguous and fast-paced situations.
- Act as technical translator and role model for effectively articulating and translating technical needs, solutions, outputs, and impacts to all levels, regardless of technical proficiency, in a respectful, collaborative, and situationally appropriate manner.
- Maintain deep, current knowledge of the AI technology landscape and emerging developments, evaluating their applicability for use in production/operational environments.
- Lead the creation, curation, and promotion of playbooks, best practices, lessons learned, and firm intellectual capital.
Job-Specific Essential Duties and Responsibilities:
- Design, develop, and deploy (AI) Machine Learning, Deep Learning models that support business objectives and enhance product functionality.
- Demonstrated knowledge in designing, building, testing, and deploying machine models.
- Collaborate with software engineers and data scientists to integrate trained models into production environments and ensure scalable performance.
- Proficient in using Python, have good working knowledge of R, and other programming languages to develop data pipelines, preprocessing routines to clean up data, and model automation workflows as needed.
- Apply knowledge of data structures, algorithms, and statistics to ensure model accuracy, efficiency, and reliability.
- Work with large language models (LLMs) such as ChatGPT, Gemini, or Meta LLMs, including OpenAI API integration and prompt optimization.
- Preferably to have worked with LangChain family of products, MCP, and other integration technologies with databases and other knowledge artifacts
- Implement and maintain MLOps practices for continuous training, deployment, and monitoring of AI models.
- Evaluate and adopt emerging AI tools, frameworks, and methodologies to
improve system performance and development efficiency.
- Collaborate cross-functionally to identify opportunities for AI applications and translate business requirements into technical solutions.
- Document system design, model performance, and process workflows to support transparency, reproducibility, and future improvements.
Minimum Requirements
- Bachelor's degree in relevant field of study and 7+ years of relevant professional experience required, or equivalent combination of education and experience.
Job-Specific Minimum Requirements:
- A bach...
....Read more...
Type: Permanent Location: Hartford, US-CT
Salary / Rate: Not Specified
Posted: 2026-04-04 08:04:10
-
Essential Duties and Responsibilities:
- Lead, develop, collaborate, and advance the applied and responsible use of AI, ML, mathematical, and data science solutions throughout the enterprise by finding the right fit of tools, technologies, methodologies, processes, and automation to enable effective and efficient solutions for each unique situation.
Lead the use of applied mathematical analyses to provide solutions.
- Lead efforts across the enterprise to support the creation of solutions and real mission outcomes, emphasizing and teaching the ability to flex and demonstrate initiative when dealing with ambiguous and fast-paced situations.
- Act as technical translator and role model for effectively articulating and translating technical needs, solutions, outputs, and impacts to all levels, regardless of technical proficiency, in a respectful, collaborative, and situationally appropriate manner.
- Maintain deep, current knowledge of the AI technology landscape and emerging developments, evaluating their applicability for use in production/operational environments.
- Lead the creation, curation, and promotion of playbooks, best practices, lessons learned, and firm intellectual capital.
Job-Specific Essential Duties and Responsibilities:
- Design, develop, and deploy (AI) Machine Learning, Deep Learning models that support business objectives and enhance product functionality.
- Demonstrated knowledge in designing, building, testing, and deploying machine models.
- Collaborate with software engineers and data scientists to integrate trained models into production environments and ensure scalable performance.
- Proficient in using Python, have good working knowledge of R, and other programming languages to develop data pipelines, preprocessing routines to clean up data, and model automation workflows as needed.
- Apply knowledge of data structures, algorithms, and statistics to ensure model accuracy, efficiency, and reliability.
- Work with large language models (LLMs) such as ChatGPT, Gemini, or Meta LLMs, including OpenAI API integration and prompt optimization.
- Preferably to have worked with LangChain family of products, MCP, and other integration technologies with databases and other knowledge artifacts
- Implement and maintain MLOps practices for continuous training, deployment, and monitoring of AI models.
- Evaluate and adopt emerging AI tools, frameworks, and methodologies to
improve system performance and development efficiency.
- Collaborate cross-functionally to identify opportunities for AI applications and translate business requirements into technical solutions.
- Document system design, model performance, and process workflows to support transparency, reproducibility, and future improvements.
Minimum Requirements
- Bachelor's degree in relevant field of study and 7+ years of relevant professional experience required, or equivalent combination of education and experience.
Job-Specific Minimum Requirements:
- A bach...
....Read more...
Type: Permanent Location: Jacksonville, US-FL
Salary / Rate: Not Specified
Posted: 2026-04-04 08:04:09
-
Essential Duties and Responsibilities:
- Lead, develop, collaborate, and advance the applied and responsible use of AI, ML, mathematical, and data science solutions throughout the enterprise by finding the right fit of tools, technologies, methodologies, processes, and automation to enable effective and efficient solutions for each unique situation.
Lead the use of applied mathematical analyses to provide solutions.
- Lead efforts across the enterprise to support the creation of solutions and real mission outcomes, emphasizing and teaching the ability to flex and demonstrate initiative when dealing with ambiguous and fast-paced situations.
- Act as technical translator and role model for effectively articulating and translating technical needs, solutions, outputs, and impacts to all levels, regardless of technical proficiency, in a respectful, collaborative, and situationally appropriate manner.
- Maintain deep, current knowledge of the AI technology landscape and emerging developments, evaluating their applicability for use in production/operational environments.
- Lead the creation, curation, and promotion of playbooks, best practices, lessons learned, and firm intellectual capital.
Job-Specific Essential Duties and Responsibilities:
- Design, develop, and deploy (AI) Machine Learning, Deep Learning models that support business objectives and enhance product functionality.
- Demonstrated knowledge in designing, building, testing, and deploying machine models.
- Collaborate with software engineers and data scientists to integrate trained models into production environments and ensure scalable performance.
- Proficient in using Python, have good working knowledge of R, and other programming languages to develop data pipelines, preprocessing routines to clean up data, and model automation workflows as needed.
- Apply knowledge of data structures, algorithms, and statistics to ensure model accuracy, efficiency, and reliability.
- Work with large language models (LLMs) such as ChatGPT, Gemini, or Meta LLMs, including OpenAI API integration and prompt optimization.
- Preferably to have worked with LangChain family of products, MCP, and other integration technologies with databases and other knowledge artifacts
- Implement and maintain MLOps practices for continuous training, deployment, and monitoring of AI models.
- Evaluate and adopt emerging AI tools, frameworks, and methodologies to
improve system performance and development efficiency.
- Collaborate cross-functionally to identify opportunities for AI applications and translate business requirements into technical solutions.
- Document system design, model performance, and process workflows to support transparency, reproducibility, and future improvements.
Minimum Requirements
- Bachelor's degree in relevant field of study and 7+ years of relevant professional experience required, or equivalent combination of education and experience.
Job-Specific Minimum Requirements:
- A bach...
....Read more...
Type: Permanent Location: Dover, US-DE
Salary / Rate: Not Specified
Posted: 2026-04-04 08:04:08
-
Essential Duties and Responsibilities:
- Lead, develop, collaborate, and advance the applied and responsible use of AI, ML, mathematical, and data science solutions throughout the enterprise by finding the right fit of tools, technologies, methodologies, processes, and automation to enable effective and efficient solutions for each unique situation.
Lead the use of applied mathematical analyses to provide solutions.
- Lead efforts across the enterprise to support the creation of solutions and real mission outcomes, emphasizing and teaching the ability to flex and demonstrate initiative when dealing with ambiguous and fast-paced situations.
- Act as technical translator and role model for effectively articulating and translating technical needs, solutions, outputs, and impacts to all levels, regardless of technical proficiency, in a respectful, collaborative, and situationally appropriate manner.
- Maintain deep, current knowledge of the AI technology landscape and emerging developments, evaluating their applicability for use in production/operational environments.
- Lead the creation, curation, and promotion of playbooks, best practices, lessons learned, and firm intellectual capital.
Job-Specific Essential Duties and Responsibilities:
- Design, develop, and deploy (AI) Machine Learning, Deep Learning models that support business objectives and enhance product functionality.
- Demonstrated knowledge in designing, building, testing, and deploying machine models.
- Collaborate with software engineers and data scientists to integrate trained models into production environments and ensure scalable performance.
- Proficient in using Python, have good working knowledge of R, and other programming languages to develop data pipelines, preprocessing routines to clean up data, and model automation workflows as needed.
- Apply knowledge of data structures, algorithms, and statistics to ensure model accuracy, efficiency, and reliability.
- Work with large language models (LLMs) such as ChatGPT, Gemini, or Meta LLMs, including OpenAI API integration and prompt optimization.
- Preferably to have worked with LangChain family of products, MCP, and other integration technologies with databases and other knowledge artifacts
- Implement and maintain MLOps practices for continuous training, deployment, and monitoring of AI models.
- Evaluate and adopt emerging AI tools, frameworks, and methodologies to
improve system performance and development efficiency.
- Collaborate cross-functionally to identify opportunities for AI applications and translate business requirements into technical solutions.
- Document system design, model performance, and process workflows to support transparency, reproducibility, and future improvements.
Minimum Requirements
- Bachelor's degree in relevant field of study and 7+ years of relevant professional experience required, or equivalent combination of education and experience.
Job-Specific Minimum Requirements:
- A bach...
....Read more...
Type: Permanent Location: Wilmington, US-DE
Salary / Rate: Not Specified
Posted: 2026-04-04 08:04:08
-
Essential Duties and Responsibilities:
- Lead, develop, collaborate, and advance the applied and responsible use of AI, ML, mathematical, and data science solutions throughout the enterprise by finding the right fit of tools, technologies, methodologies, processes, and automation to enable effective and efficient solutions for each unique situation.
Lead the use of applied mathematical analyses to provide solutions.
- Lead efforts across the enterprise to support the creation of solutions and real mission outcomes, emphasizing and teaching the ability to flex and demonstrate initiative when dealing with ambiguous and fast-paced situations.
- Act as technical translator and role model for effectively articulating and translating technical needs, solutions, outputs, and impacts to all levels, regardless of technical proficiency, in a respectful, collaborative, and situationally appropriate manner.
- Maintain deep, current knowledge of the AI technology landscape and emerging developments, evaluating their applicability for use in production/operational environments.
- Lead the creation, curation, and promotion of playbooks, best practices, lessons learned, and firm intellectual capital.
Job-Specific Essential Duties and Responsibilities:
- Design, develop, and deploy (AI) Machine Learning, Deep Learning models that support business objectives and enhance product functionality.
- Demonstrated knowledge in designing, building, testing, and deploying machine models.
- Collaborate with software engineers and data scientists to integrate trained models into production environments and ensure scalable performance.
- Proficient in using Python, have good working knowledge of R, and other programming languages to develop data pipelines, preprocessing routines to clean up data, and model automation workflows as needed.
- Apply knowledge of data structures, algorithms, and statistics to ensure model accuracy, efficiency, and reliability.
- Work with large language models (LLMs) such as ChatGPT, Gemini, or Meta LLMs, including OpenAI API integration and prompt optimization.
- Preferably to have worked with LangChain family of products, MCP, and other integration technologies with databases and other knowledge artifacts
- Implement and maintain MLOps practices for continuous training, deployment, and monitoring of AI models.
- Evaluate and adopt emerging AI tools, frameworks, and methodologies to
improve system performance and development efficiency.
- Collaborate cross-functionally to identify opportunities for AI applications and translate business requirements into technical solutions.
- Document system design, model performance, and process workflows to support transparency, reproducibility, and future improvements.
Minimum Requirements
- Bachelor's degree in relevant field of study and 7+ years of relevant professional experience required, or equivalent combination of education and experience.
Job-Specific Minimum Requirements:
- A bach...
....Read more...
Type: Permanent Location: Colorado Springs, US-CO
Salary / Rate: Not Specified
Posted: 2026-04-04 08:04:07
-
Essential Duties and Responsibilities:
- Lead, develop, collaborate, and advance the applied and responsible use of AI, ML, mathematical, and data science solutions throughout the enterprise by finding the right fit of tools, technologies, methodologies, processes, and automation to enable effective and efficient solutions for each unique situation.
Lead the use of applied mathematical analyses to provide solutions.
- Lead efforts across the enterprise to support the creation of solutions and real mission outcomes, emphasizing and teaching the ability to flex and demonstrate initiative when dealing with ambiguous and fast-paced situations.
- Act as technical translator and role model for effectively articulating and translating technical needs, solutions, outputs, and impacts to all levels, regardless of technical proficiency, in a respectful, collaborative, and situationally appropriate manner.
- Maintain deep, current knowledge of the AI technology landscape and emerging developments, evaluating their applicability for use in production/operational environments.
- Lead the creation, curation, and promotion of playbooks, best practices, lessons learned, and firm intellectual capital.
Job-Specific Essential Duties and Responsibilities:
- Design, develop, and deploy (AI) Machine Learning, Deep Learning models that support business objectives and enhance product functionality.
- Demonstrated knowledge in designing, building, testing, and deploying machine models.
- Collaborate with software engineers and data scientists to integrate trained models into production environments and ensure scalable performance.
- Proficient in using Python, have good working knowledge of R, and other programming languages to develop data pipelines, preprocessing routines to clean up data, and model automation workflows as needed.
- Apply knowledge of data structures, algorithms, and statistics to ensure model accuracy, efficiency, and reliability.
- Work with large language models (LLMs) such as ChatGPT, Gemini, or Meta LLMs, including OpenAI API integration and prompt optimization.
- Preferably to have worked with LangChain family of products, MCP, and other integration technologies with databases and other knowledge artifacts
- Implement and maintain MLOps practices for continuous training, deployment, and monitoring of AI models.
- Evaluate and adopt emerging AI tools, frameworks, and methodologies to
improve system performance and development efficiency.
- Collaborate cross-functionally to identify opportunities for AI applications and translate business requirements into technical solutions.
- Document system design, model performance, and process workflows to support transparency, reproducibility, and future improvements.
Minimum Requirements
- Bachelor's degree in relevant field of study and 7+ years of relevant professional experience required, or equivalent combination of education and experience.
Job-Specific Minimum Requirements:
- A bach...
....Read more...
Type: Permanent Location: Bridgeport, US-CT
Salary / Rate: Not Specified
Posted: 2026-04-04 08:04:07
-
Essential Duties and Responsibilities:
- Lead, develop, collaborate, and advance the applied and responsible use of AI, ML, mathematical, and data science solutions throughout the enterprise by finding the right fit of tools, technologies, methodologies, processes, and automation to enable effective and efficient solutions for each unique situation.
Lead the use of applied mathematical analyses to provide solutions.
- Lead efforts across the enterprise to support the creation of solutions and real mission outcomes, emphasizing and teaching the ability to flex and demonstrate initiative when dealing with ambiguous and fast-paced situations.
- Act as technical translator and role model for effectively articulating and translating technical needs, solutions, outputs, and impacts to all levels, regardless of technical proficiency, in a respectful, collaborative, and situationally appropriate manner.
- Maintain deep, current knowledge of the AI technology landscape and emerging developments, evaluating their applicability for use in production/operational environments.
- Lead the creation, curation, and promotion of playbooks, best practices, lessons learned, and firm intellectual capital.
Job-Specific Essential Duties and Responsibilities:
- Design, develop, and deploy (AI) Machine Learning, Deep Learning models that support business objectives and enhance product functionality.
- Demonstrated knowledge in designing, building, testing, and deploying machine models.
- Collaborate with software engineers and data scientists to integrate trained models into production environments and ensure scalable performance.
- Proficient in using Python, have good working knowledge of R, and other programming languages to develop data pipelines, preprocessing routines to clean up data, and model automation workflows as needed.
- Apply knowledge of data structures, algorithms, and statistics to ensure model accuracy, efficiency, and reliability.
- Work with large language models (LLMs) such as ChatGPT, Gemini, or Meta LLMs, including OpenAI API integration and prompt optimization.
- Preferably to have worked with LangChain family of products, MCP, and other integration technologies with databases and other knowledge artifacts
- Implement and maintain MLOps practices for continuous training, deployment, and monitoring of AI models.
- Evaluate and adopt emerging AI tools, frameworks, and methodologies to
improve system performance and development efficiency.
- Collaborate cross-functionally to identify opportunities for AI applications and translate business requirements into technical solutions.
- Document system design, model performance, and process workflows to support transparency, reproducibility, and future improvements.
Minimum Requirements
- Bachelor's degree in relevant field of study and 7+ years of relevant professional experience required, or equivalent combination of education and experience.
Job-Specific Minimum Requirements:
- A bach...
....Read more...
Type: Permanent Location: Sacramento, US-CA
Salary / Rate: Not Specified
Posted: 2026-04-04 08:04:06
-
Essential Duties and Responsibilities:
- Lead, develop, collaborate, and advance the applied and responsible use of AI, ML, mathematical, and data science solutions throughout the enterprise by finding the right fit of tools, technologies, methodologies, processes, and automation to enable effective and efficient solutions for each unique situation.
Lead the use of applied mathematical analyses to provide solutions.
- Lead efforts across the enterprise to support the creation of solutions and real mission outcomes, emphasizing and teaching the ability to flex and demonstrate initiative when dealing with ambiguous and fast-paced situations.
- Act as technical translator and role model for effectively articulating and translating technical needs, solutions, outputs, and impacts to all levels, regardless of technical proficiency, in a respectful, collaborative, and situationally appropriate manner.
- Maintain deep, current knowledge of the AI technology landscape and emerging developments, evaluating their applicability for use in production/operational environments.
- Lead the creation, curation, and promotion of playbooks, best practices, lessons learned, and firm intellectual capital.
Job-Specific Essential Duties and Responsibilities:
- Design, develop, and deploy (AI) Machine Learning, Deep Learning models that support business objectives and enhance product functionality.
- Demonstrated knowledge in designing, building, testing, and deploying machine models.
- Collaborate with software engineers and data scientists to integrate trained models into production environments and ensure scalable performance.
- Proficient in using Python, have good working knowledge of R, and other programming languages to develop data pipelines, preprocessing routines to clean up data, and model automation workflows as needed.
- Apply knowledge of data structures, algorithms, and statistics to ensure model accuracy, efficiency, and reliability.
- Work with large language models (LLMs) such as ChatGPT, Gemini, or Meta LLMs, including OpenAI API integration and prompt optimization.
- Preferably to have worked with LangChain family of products, MCP, and other integration technologies with databases and other knowledge artifacts
- Implement and maintain MLOps practices for continuous training, deployment, and monitoring of AI models.
- Evaluate and adopt emerging AI tools, frameworks, and methodologies to
improve system performance and development efficiency.
- Collaborate cross-functionally to identify opportunities for AI applications and translate business requirements into technical solutions.
- Document system design, model performance, and process workflows to support transparency, reproducibility, and future improvements.
Minimum Requirements
- Bachelor's degree in relevant field of study and 7+ years of relevant professional experience required, or equivalent combination of education and experience.
Job-Specific Minimum Requirements:
- A bach...
....Read more...
Type: Permanent Location: Los Angeles, US-CA
Salary / Rate: Not Specified
Posted: 2026-04-04 08:04:05
-
Essential Duties and Responsibilities:
- Lead, develop, collaborate, and advance the applied and responsible use of AI, ML, mathematical, and data science solutions throughout the enterprise by finding the right fit of tools, technologies, methodologies, processes, and automation to enable effective and efficient solutions for each unique situation.
Lead the use of applied mathematical analyses to provide solutions.
- Lead efforts across the enterprise to support the creation of solutions and real mission outcomes, emphasizing and teaching the ability to flex and demonstrate initiative when dealing with ambiguous and fast-paced situations.
- Act as technical translator and role model for effectively articulating and translating technical needs, solutions, outputs, and impacts to all levels, regardless of technical proficiency, in a respectful, collaborative, and situationally appropriate manner.
- Maintain deep, current knowledge of the AI technology landscape and emerging developments, evaluating their applicability for use in production/operational environments.
- Lead the creation, curation, and promotion of playbooks, best practices, lessons learned, and firm intellectual capital.
Job-Specific Essential Duties and Responsibilities:
- Design, develop, and deploy (AI) Machine Learning, Deep Learning models that support business objectives and enhance product functionality.
- Demonstrated knowledge in designing, building, testing, and deploying machine models.
- Collaborate with software engineers and data scientists to integrate trained models into production environments and ensure scalable performance.
- Proficient in using Python, have good working knowledge of R, and other programming languages to develop data pipelines, preprocessing routines to clean up data, and model automation workflows as needed.
- Apply knowledge of data structures, algorithms, and statistics to ensure model accuracy, efficiency, and reliability.
- Work with large language models (LLMs) such as ChatGPT, Gemini, or Meta LLMs, including OpenAI API integration and prompt optimization.
- Preferably to have worked with LangChain family of products, MCP, and other integration technologies with databases and other knowledge artifacts
- Implement and maintain MLOps practices for continuous training, deployment, and monitoring of AI models.
- Evaluate and adopt emerging AI tools, frameworks, and methodologies to
improve system performance and development efficiency.
- Collaborate cross-functionally to identify opportunities for AI applications and translate business requirements into technical solutions.
- Document system design, model performance, and process workflows to support transparency, reproducibility, and future improvements.
Minimum Requirements
- Bachelor's degree in relevant field of study and 7+ years of relevant professional experience required, or equivalent combination of education and experience.
Job-Specific Minimum Requirements:
- A bach...
....Read more...
Type: Permanent Location: Fort Smith, US-AR
Salary / Rate: Not Specified
Posted: 2026-04-04 08:04:05
-
Essential Duties and Responsibilities:
- Lead, develop, collaborate, and advance the applied and responsible use of AI, ML, mathematical, and data science solutions throughout the enterprise by finding the right fit of tools, technologies, methodologies, processes, and automation to enable effective and efficient solutions for each unique situation.
Lead the use of applied mathematical analyses to provide solutions.
- Lead efforts across the enterprise to support the creation of solutions and real mission outcomes, emphasizing and teaching the ability to flex and demonstrate initiative when dealing with ambiguous and fast-paced situations.
- Act as technical translator and role model for effectively articulating and translating technical needs, solutions, outputs, and impacts to all levels, regardless of technical proficiency, in a respectful, collaborative, and situationally appropriate manner.
- Maintain deep, current knowledge of the AI technology landscape and emerging developments, evaluating their applicability for use in production/operational environments.
- Lead the creation, curation, and promotion of playbooks, best practices, lessons learned, and firm intellectual capital.
Job-Specific Essential Duties and Responsibilities:
- Design, develop, and deploy (AI) Machine Learning, Deep Learning models that support business objectives and enhance product functionality.
- Demonstrated knowledge in designing, building, testing, and deploying machine models.
- Collaborate with software engineers and data scientists to integrate trained models into production environments and ensure scalable performance.
- Proficient in using Python, have good working knowledge of R, and other programming languages to develop data pipelines, preprocessing routines to clean up data, and model automation workflows as needed.
- Apply knowledge of data structures, algorithms, and statistics to ensure model accuracy, efficiency, and reliability.
- Work with large language models (LLMs) such as ChatGPT, Gemini, or Meta LLMs, including OpenAI API integration and prompt optimization.
- Preferably to have worked with LangChain family of products, MCP, and other integration technologies with databases and other knowledge artifacts
- Implement and maintain MLOps practices for continuous training, deployment, and monitoring of AI models.
- Evaluate and adopt emerging AI tools, frameworks, and methodologies to
improve system performance and development efficiency.
- Collaborate cross-functionally to identify opportunities for AI applications and translate business requirements into technical solutions.
- Document system design, model performance, and process workflows to support transparency, reproducibility, and future improvements.
Minimum Requirements
- Bachelor's degree in relevant field of study and 7+ years of relevant professional experience required, or equivalent combination of education and experience.
Job-Specific Minimum Requirements:
- A bach...
....Read more...
Type: Permanent Location: Denver, US-CO
Salary / Rate: Not Specified
Posted: 2026-04-04 08:04:04
-
Essential Duties and Responsibilities:
- Lead, develop, collaborate, and advance the applied and responsible use of AI, ML, mathematical, and data science solutions throughout the enterprise by finding the right fit of tools, technologies, methodologies, processes, and automation to enable effective and efficient solutions for each unique situation.
Lead the use of applied mathematical analyses to provide solutions.
- Lead efforts across the enterprise to support the creation of solutions and real mission outcomes, emphasizing and teaching the ability to flex and demonstrate initiative when dealing with ambiguous and fast-paced situations.
- Act as technical translator and role model for effectively articulating and translating technical needs, solutions, outputs, and impacts to all levels, regardless of technical proficiency, in a respectful, collaborative, and situationally appropriate manner.
- Maintain deep, current knowledge of the AI technology landscape and emerging developments, evaluating their applicability for use in production/operational environments.
- Lead the creation, curation, and promotion of playbooks, best practices, lessons learned, and firm intellectual capital.
Job-Specific Essential Duties and Responsibilities:
- Design, develop, and deploy (AI) Machine Learning, Deep Learning models that support business objectives and enhance product functionality.
- Demonstrated knowledge in designing, building, testing, and deploying machine models.
- Collaborate with software engineers and data scientists to integrate trained models into production environments and ensure scalable performance.
- Proficient in using Python, have good working knowledge of R, and other programming languages to develop data pipelines, preprocessing routines to clean up data, and model automation workflows as needed.
- Apply knowledge of data structures, algorithms, and statistics to ensure model accuracy, efficiency, and reliability.
- Work with large language models (LLMs) such as ChatGPT, Gemini, or Meta LLMs, including OpenAI API integration and prompt optimization.
- Preferably to have worked with LangChain family of products, MCP, and other integration technologies with databases and other knowledge artifacts
- Implement and maintain MLOps practices for continuous training, deployment, and monitoring of AI models.
- Evaluate and adopt emerging AI tools, frameworks, and methodologies to
improve system performance and development efficiency.
- Collaborate cross-functionally to identify opportunities for AI applications and translate business requirements into technical solutions.
- Document system design, model performance, and process workflows to support transparency, reproducibility, and future improvements.
Minimum Requirements
- Bachelor's degree in relevant field of study and 7+ years of relevant professional experience required, or equivalent combination of education and experience.
Job-Specific Minimum Requirements:
- A bach...
....Read more...
Type: Permanent Location: San Diego, US-CA
Salary / Rate: Not Specified
Posted: 2026-04-04 08:04:03
-
Essential Duties and Responsibilities:
- Lead, develop, collaborate, and advance the applied and responsible use of AI, ML, mathematical, and data science solutions throughout the enterprise by finding the right fit of tools, technologies, methodologies, processes, and automation to enable effective and efficient solutions for each unique situation.
Lead the use of applied mathematical analyses to provide solutions.
- Lead efforts across the enterprise to support the creation of solutions and real mission outcomes, emphasizing and teaching the ability to flex and demonstrate initiative when dealing with ambiguous and fast-paced situations.
- Act as technical translator and role model for effectively articulating and translating technical needs, solutions, outputs, and impacts to all levels, regardless of technical proficiency, in a respectful, collaborative, and situationally appropriate manner.
- Maintain deep, current knowledge of the AI technology landscape and emerging developments, evaluating their applicability for use in production/operational environments.
- Lead the creation, curation, and promotion of playbooks, best practices, lessons learned, and firm intellectual capital.
Job-Specific Essential Duties and Responsibilities:
- Design, develop, and deploy (AI) Machine Learning, Deep Learning models that support business objectives and enhance product functionality.
- Demonstrated knowledge in designing, building, testing, and deploying machine models.
- Collaborate with software engineers and data scientists to integrate trained models into production environments and ensure scalable performance.
- Proficient in using Python, have good working knowledge of R, and other programming languages to develop data pipelines, preprocessing routines to clean up data, and model automation workflows as needed.
- Apply knowledge of data structures, algorithms, and statistics to ensure model accuracy, efficiency, and reliability.
- Work with large language models (LLMs) such as ChatGPT, Gemini, or Meta LLMs, including OpenAI API integration and prompt optimization.
- Preferably to have worked with LangChain family of products, MCP, and other integration technologies with databases and other knowledge artifacts
- Implement and maintain MLOps practices for continuous training, deployment, and monitoring of AI models.
- Evaluate and adopt emerging AI tools, frameworks, and methodologies to
improve system performance and development efficiency.
- Collaborate cross-functionally to identify opportunities for AI applications and translate business requirements into technical solutions.
- Document system design, model performance, and process workflows to support transparency, reproducibility, and future improvements.
Minimum Requirements
- Bachelor's degree in relevant field of study and 7+ years of relevant professional experience required, or equivalent combination of education and experience.
Job-Specific Minimum Requirements:
- A bach...
....Read more...
Type: Permanent Location: San Francisco, US-CA
Salary / Rate: Not Specified
Posted: 2026-04-04 08:04:03
-
Essential Duties and Responsibilities:
- Lead, develop, collaborate, and advance the applied and responsible use of AI, ML, mathematical, and data science solutions throughout the enterprise by finding the right fit of tools, technologies, methodologies, processes, and automation to enable effective and efficient solutions for each unique situation.
Lead the use of applied mathematical analyses to provide solutions.
- Lead efforts across the enterprise to support the creation of solutions and real mission outcomes, emphasizing and teaching the ability to flex and demonstrate initiative when dealing with ambiguous and fast-paced situations.
- Act as technical translator and role model for effectively articulating and translating technical needs, solutions, outputs, and impacts to all levels, regardless of technical proficiency, in a respectful, collaborative, and situationally appropriate manner.
- Maintain deep, current knowledge of the AI technology landscape and emerging developments, evaluating their applicability for use in production/operational environments.
- Lead the creation, curation, and promotion of playbooks, best practices, lessons learned, and firm intellectual capital.
Job-Specific Essential Duties and Responsibilities:
- Design, develop, and deploy (AI) Machine Learning, Deep Learning models that support business objectives and enhance product functionality.
- Demonstrated knowledge in designing, building, testing, and deploying machine models.
- Collaborate with software engineers and data scientists to integrate trained models into production environments and ensure scalable performance.
- Proficient in using Python, have good working knowledge of R, and other programming languages to develop data pipelines, preprocessing routines to clean up data, and model automation workflows as needed.
- Apply knowledge of data structures, algorithms, and statistics to ensure model accuracy, efficiency, and reliability.
- Work with large language models (LLMs) such as ChatGPT, Gemini, or Meta LLMs, including OpenAI API integration and prompt optimization.
- Preferably to have worked with LangChain family of products, MCP, and other integration technologies with databases and other knowledge artifacts
- Implement and maintain MLOps practices for continuous training, deployment, and monitoring of AI models.
- Evaluate and adopt emerging AI tools, frameworks, and methodologies to
improve system performance and development efficiency.
- Collaborate cross-functionally to identify opportunities for AI applications and translate business requirements into technical solutions.
- Document system design, model performance, and process workflows to support transparency, reproducibility, and future improvements.
Minimum Requirements
- Bachelor's degree in relevant field of study and 7+ years of relevant professional experience required, or equivalent combination of education and experience.
Job-Specific Minimum Requirements:
- A bach...
....Read more...
Type: Permanent Location: Montgomery, US-AL
Salary / Rate: Not Specified
Posted: 2026-04-04 08:04:02
-
Essential Duties and Responsibilities:
- Lead, develop, collaborate, and advance the applied and responsible use of AI, ML, mathematical, and data science solutions throughout the enterprise by finding the right fit of tools, technologies, methodologies, processes, and automation to enable effective and efficient solutions for each unique situation.
Lead the use of applied mathematical analyses to provide solutions.
- Lead efforts across the enterprise to support the creation of solutions and real mission outcomes, emphasizing and teaching the ability to flex and demonstrate initiative when dealing with ambiguous and fast-paced situations.
- Act as technical translator and role model for effectively articulating and translating technical needs, solutions, outputs, and impacts to all levels, regardless of technical proficiency, in a respectful, collaborative, and situationally appropriate manner.
- Maintain deep, current knowledge of the AI technology landscape and emerging developments, evaluating their applicability for use in production/operational environments.
- Lead the creation, curation, and promotion of playbooks, best practices, lessons learned, and firm intellectual capital.
Job-Specific Essential Duties and Responsibilities:
- Design, develop, and deploy (AI) Machine Learning, Deep Learning models that support business objectives and enhance product functionality.
- Demonstrated knowledge in designing, building, testing, and deploying machine models.
- Collaborate with software engineers and data scientists to integrate trained models into production environments and ensure scalable performance.
- Proficient in using Python, have good working knowledge of R, and other programming languages to develop data pipelines, preprocessing routines to clean up data, and model automation workflows as needed.
- Apply knowledge of data structures, algorithms, and statistics to ensure model accuracy, efficiency, and reliability.
- Work with large language models (LLMs) such as ChatGPT, Gemini, or Meta LLMs, including OpenAI API integration and prompt optimization.
- Preferably to have worked with LangChain family of products, MCP, and other integration technologies with databases and other knowledge artifacts
- Implement and maintain MLOps practices for continuous training, deployment, and monitoring of AI models.
- Evaluate and adopt emerging AI tools, frameworks, and methodologies to
improve system performance and development efficiency.
- Collaborate cross-functionally to identify opportunities for AI applications and translate business requirements into technical solutions.
- Document system design, model performance, and process workflows to support transparency, reproducibility, and future improvements.
Minimum Requirements
- Bachelor's degree in relevant field of study and 7+ years of relevant professional experience required, or equivalent combination of education and experience.
Job-Specific Minimum Requirements:
- A bach...
....Read more...
Type: Permanent Location: Birmingham, US-AL
Salary / Rate: Not Specified
Posted: 2026-04-04 08:04:02
-
Essential Duties and Responsibilities:
- Lead, develop, collaborate, and advance the applied and responsible use of AI, ML, mathematical, and data science solutions throughout the enterprise by finding the right fit of tools, technologies, methodologies, processes, and automation to enable effective and efficient solutions for each unique situation.
Lead the use of applied mathematical analyses to provide solutions.
- Lead efforts across the enterprise to support the creation of solutions and real mission outcomes, emphasizing and teaching the ability to flex and demonstrate initiative when dealing with ambiguous and fast-paced situations.
- Act as technical translator and role model for effectively articulating and translating technical needs, solutions, outputs, and impacts to all levels, regardless of technical proficiency, in a respectful, collaborative, and situationally appropriate manner.
- Maintain deep, current knowledge of the AI technology landscape and emerging developments, evaluating their applicability for use in production/operational environments.
- Lead the creation, curation, and promotion of playbooks, best practices, lessons learned, and firm intellectual capital.
Job-Specific Essential Duties and Responsibilities:
- Design, develop, and deploy (AI) Machine Learning, Deep Learning models that support business objectives and enhance product functionality.
- Demonstrated knowledge in designing, building, testing, and deploying machine models.
- Collaborate with software engineers and data scientists to integrate trained models into production environments and ensure scalable performance.
- Proficient in using Python, have good working knowledge of R, and other programming languages to develop data pipelines, preprocessing routines to clean up data, and model automation workflows as needed.
- Apply knowledge of data structures, algorithms, and statistics to ensure model accuracy, efficiency, and reliability.
- Work with large language models (LLMs) such as ChatGPT, Gemini, or Meta LLMs, including OpenAI API integration and prompt optimization.
- Preferably to have worked with LangChain family of products, MCP, and other integration technologies with databases and other knowledge artifacts
- Implement and maintain MLOps practices for continuous training, deployment, and monitoring of AI models.
- Evaluate and adopt emerging AI tools, frameworks, and methodologies to
improve system performance and development efficiency.
- Collaborate cross-functionally to identify opportunities for AI applications and translate business requirements into technical solutions.
- Document system design, model performance, and process workflows to support transparency, reproducibility, and future improvements.
Minimum Requirements
- Bachelor's degree in relevant field of study and 7+ years of relevant professional experience required, or equivalent combination of education and experience.
Job-Specific Minimum Requirements:
- A bach...
....Read more...
Type: Permanent Location: Phoenix, US-AZ
Salary / Rate: Not Specified
Posted: 2026-04-04 08:04:01
-
Essential Duties and Responsibilities:
- Lead, develop, collaborate, and advance the applied and responsible use of AI, ML, mathematical, and data science solutions throughout the enterprise by finding the right fit of tools, technologies, methodologies, processes, and automation to enable effective and efficient solutions for each unique situation.
Lead the use of applied mathematical analyses to provide solutions.
- Lead efforts across the enterprise to support the creation of solutions and real mission outcomes, emphasizing and teaching the ability to flex and demonstrate initiative when dealing with ambiguous and fast-paced situations.
- Act as technical translator and role model for effectively articulating and translating technical needs, solutions, outputs, and impacts to all levels, regardless of technical proficiency, in a respectful, collaborative, and situationally appropriate manner.
- Maintain deep, current knowledge of the AI technology landscape and emerging developments, evaluating their applicability for use in production/operational environments.
- Lead the creation, curation, and promotion of playbooks, best practices, lessons learned, and firm intellectual capital.
Job-Specific Essential Duties and Responsibilities:
- Design, develop, and deploy (AI) Machine Learning, Deep Learning models that support business objectives and enhance product functionality.
- Demonstrated knowledge in designing, building, testing, and deploying machine models.
- Collaborate with software engineers and data scientists to integrate trained models into production environments and ensure scalable performance.
- Proficient in using Python, have good working knowledge of R, and other programming languages to develop data pipelines, preprocessing routines to clean up data, and model automation workflows as needed.
- Apply knowledge of data structures, algorithms, and statistics to ensure model accuracy, efficiency, and reliability.
- Work with large language models (LLMs) such as ChatGPT, Gemini, or Meta LLMs, including OpenAI API integration and prompt optimization.
- Preferably to have worked with LangChain family of products, MCP, and other integration technologies with databases and other knowledge artifacts
- Implement and maintain MLOps practices for continuous training, deployment, and monitoring of AI models.
- Evaluate and adopt emerging AI tools, frameworks, and methodologies to
improve system performance and development efficiency.
- Collaborate cross-functionally to identify opportunities for AI applications and translate business requirements into technical solutions.
- Document system design, model performance, and process workflows to support transparency, reproducibility, and future improvements.
Minimum Requirements
- Bachelor's degree in relevant field of study and 7+ years of relevant professional experience required, or equivalent combination of education and experience.
Job-Specific Minimum Requirements:
- A bach...
....Read more...
Type: Permanent Location: Little Rock, US-AR
Salary / Rate: Not Specified
Posted: 2026-04-04 08:04:00
-
Essential Duties and Responsibilities:
- Lead, develop, collaborate, and advance the applied and responsible use of AI, ML, mathematical, and data science solutions throughout the enterprise by finding the right fit of tools, technologies, methodologies, processes, and automation to enable effective and efficient solutions for each unique situation.
Lead the use of applied mathematical analyses to provide solutions.
- Lead efforts across the enterprise to support the creation of solutions and real mission outcomes, emphasizing and teaching the ability to flex and demonstrate initiative when dealing with ambiguous and fast-paced situations.
- Act as technical translator and role model for effectively articulating and translating technical needs, solutions, outputs, and impacts to all levels, regardless of technical proficiency, in a respectful, collaborative, and situationally appropriate manner.
- Maintain deep, current knowledge of the AI technology landscape and emerging developments, evaluating their applicability for use in production/operational environments.
- Lead the creation, curation, and promotion of playbooks, best practices, lessons learned, and firm intellectual capital.
Job-Specific Essential Duties and Responsibilities:
- Design, develop, and deploy (AI) Machine Learning, Deep Learning models that support business objectives and enhance product functionality.
- Demonstrated knowledge in designing, building, testing, and deploying machine models.
- Collaborate with software engineers and data scientists to integrate trained models into production environments and ensure scalable performance.
- Proficient in using Python, have good working knowledge of R, and other programming languages to develop data pipelines, preprocessing routines to clean up data, and model automation workflows as needed.
- Apply knowledge of data structures, algorithms, and statistics to ensure model accuracy, efficiency, and reliability.
- Work with large language models (LLMs) such as ChatGPT, Gemini, or Meta LLMs, including OpenAI API integration and prompt optimization.
- Preferably to have worked with LangChain family of products, MCP, and other integration technologies with databases and other knowledge artifacts
- Implement and maintain MLOps practices for continuous training, deployment, and monitoring of AI models.
- Evaluate and adopt emerging AI tools, frameworks, and methodologies to
improve system performance and development efficiency.
- Collaborate cross-functionally to identify opportunities for AI applications and translate business requirements into technical solutions.
- Document system design, model performance, and process workflows to support transparency, reproducibility, and future improvements.
Minimum Requirements
- Bachelor's degree in relevant field of study and 7+ years of relevant professional experience required, or equivalent combination of education and experience.
Job-Specific Minimum Requirements:
- A bach...
....Read more...
Type: Permanent Location: Tucson, US-AZ
Salary / Rate: Not Specified
Posted: 2026-04-04 08:04:00
-
Essential Duties and Responsibilities:
- Lead, develop, collaborate, and advance the applied and responsible use of AI, ML, mathematical, and data science solutions throughout the enterprise by finding the right fit of tools, technologies, methodologies, processes, and automation to enable effective and efficient solutions for each unique situation.
Lead the use of applied mathematical analyses to provide solutions.
- Lead efforts across the enterprise to support the creation of solutions and real mission outcomes, emphasizing and teaching the ability to flex and demonstrate initiative when dealing with ambiguous and fast-paced situations.
- Act as technical translator and role model for effectively articulating and translating technical needs, solutions, outputs, and impacts to all levels, regardless of technical proficiency, in a respectful, collaborative, and situationally appropriate manner.
- Maintain deep, current knowledge of the AI technology landscape and emerging developments, evaluating their applicability for use in production/operational environments.
- Lead the creation, curation, and promotion of playbooks, best practices, lessons learned, and firm intellectual capital.
Job-Specific Essential Duties and Responsibilities:
- Design, develop, and deploy (AI) Machine Learning, Deep Learning models that support business objectives and enhance product functionality.
- Demonstrated knowledge in designing, building, testing, and deploying machine models.
- Collaborate with software engineers and data scientists to integrate trained models into production environments and ensure scalable performance.
- Proficient in using Python, have good working knowledge of R, and other programming languages to develop data pipelines, preprocessing routines to clean up data, and model automation workflows as needed.
- Apply knowledge of data structures, algorithms, and statistics to ensure model accuracy, efficiency, and reliability.
- Work with large language models (LLMs) such as ChatGPT, Gemini, or Meta LLMs, including OpenAI API integration and prompt optimization.
- Preferably to have worked with LangChain family of products, MCP, and other integration technologies with databases and other knowledge artifacts
- Implement and maintain MLOps practices for continuous training, deployment, and monitoring of AI models.
- Evaluate and adopt emerging AI tools, frameworks, and methodologies to
improve system performance and development efficiency.
- Collaborate cross-functionally to identify opportunities for AI applications and translate business requirements into technical solutions.
- Document system design, model performance, and process workflows to support transparency, reproducibility, and future improvements.
Minimum Requirements
- Bachelor's degree in relevant field of study and 7+ years of relevant professional experience required, or equivalent combination of education and experience.
Job-Specific Minimum Requirements:
- A bach...
....Read more...
Type: Permanent Location: Mobile, US-AL
Salary / Rate: Not Specified
Posted: 2026-04-04 08:03:59
-
Provide exceptional customer service to help people live healthier lives by treating our customers/employees in a fair and ethical manner, providing a safe, clean, inclusive environment, being a responsible member of the community, providing the right products, services, and care at the right time with fair and accurate pricing.
Provide direct patient intervention by providing health and wellness services and experiences relevant to the patient as allowable by and consistent with state and federal laws.
Demonstrate the company's core values of respect, honesty, integrity, diversity, inclusion and safety.From one tiny Cincinnati grocery store more than a century ago, we've grown into what today is the nation's largest grocer with nearly 2,800 stores in 35 states operating under 28 different names.
As America's grocer, we take pride in bringing diverse teams with a passion for food and people together with one common purpose: To Feed the Human Spirit.
With a history of innovation, we work tirelessly to create amazing experiences for our customers, communities AND each other, with food at the heart of it all.
Here, people matter.
That's why we strive to provide the ingredients you need to create your own recipe for success at work and in life.
We help feed your future by providing the value and care you need to grow.
If you're caring, purpose-driven and hungry to learn, your potential is unlimited.
Whether you're seeking a part-time position or a new career path, we've got a fresh opportunity for you.
Apply today to become part of our Kroger family!
What you'll receive from us:
The Kroger Family of Companies offers comprehensive benefits to support your Associate Well-Being, including Physical, Emotional, Financial and more.
We'll help you thrive, with access to:
* A wide range of healthcare coverage, including affordable, comprehensive medical, dental, vision and prescription coverage, through company plans or collective bargaining agreement plans.
* Flexible scheduling in full- and part-time roles with paid time off, including holiday and sick pay based on eligibility and length of service.
* Emotional and financial support with free counseling through our Employee Assistance Program and free, confidential financial tools and coaching with Goldman Sachs Ayco.
* Valuable associate discounts on purchases, including food, travel, technology and so much more.
* Up to $21,000 in tuition reimbursement over your career, through our industry-leading Continuing Education program.
* Vast potential for growth, through an abundance of industry-leading training programs and diverse career pathways.
For more information about benefits and eligibility, please visit our Benefits Page ! MINIMUM
* High School Diploma or GED
* Must be 18 years old
* Ability to handle highly confidential information
* Meets minimum state requirements to perform the functions related to the position
DESIRED
* Any previous...
....Read more...
Type: Permanent Location: West Memphis, US-AR
Salary / Rate: Not Specified
Posted: 2026-04-04 08:03:58
