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Python Software Engineer III - AI/ML

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Software Engineer III at JPMorgan Chase within the Commercial and Investment Bank organization, you will be a seasoned member of an agile team, tasked with designing and delivering trusted, market-leading technology products that are secure, stable, and scalable.

Your responsibilities include implementing critical technology solutions across multiple technical areas, supporting various business functions to achieve the firm's business objectives.

Job responsibilities



* Engages in platform engineering to enable the Gen AI platform, develop Gen AI use cases, LLM fine-tuning, and multi-agent orchestration


* Builds machine learning pipelines using Generative AI models on AWS and implements best practices in software engineering, MLOps, and data governance


* Maintains consistent code check-ins every sprint for continuous integration and development


* Ensures AI/ML solutions comply with data privacy and security regulations


* Shares technical concepts and solutions across all organizational levels while proactively working to understand key business problems and processes


* Executes tasks throughout the model development process, including data wrangling, analysis, model training, testing, and selection


* Generates and presents structured insights from data analysis and modeling exercises tailored to the audience


* Conducts ad-hoc and periodic analysis as required by business stakeholders, the model risk function, and other groups


* Collaborates with engineers to build and deploy solutions for business requirements


* Identifies and addresses AI/ML/LLM/GenAI challenges, implement optimizations, and fine-tune models for optimal performance in Natural Language Processing (NLP) applications


* Works with the OpenAI API, including prompt engineering, vector databases, and AI agents

Required qualifications, capabilities, and skills



* Formal training or certification on software engineering concepts and 3+ years applied experience


* Proficient coding experience in Python and relevant libraries (TensorFlow, PyTorch, scikit-learn)


* Experience with machine learning frameworks, libraries, and APIs, such as TensorFlow, PyTorch, Scikit-learn, and OpenAI API


* Expertise in data wrangling, including understanding, cleaning, reshaping, and joining complex datasets using Python


* Advanced knowledge in software engineering, AI/ML, MLOps, and data governance


* Expertise in AWS cloud services, including ECS, RDS, DynamoDB, S3, Lambda, SageMaker, and EC2


* Experience with cloud computing platforms (AWS, Azure, or Google Cloud Platform), containerization technologies (Docker and Kubernetes), microservices design, and performance optimization


* Demonstrated experience with Natural Language Processing (NLP), including tokenization, embedding's, sentiment ana...




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