Senior AI/ML Engineer

Job Description

The Senior AI/ML Engineer will play a crucial role in the AI Center of Excellence (CoE), supporting cross-functional teams across the organization.

This position will focus on designing, and developing machine learning (ML), artificial intelligence (AI), Generative AI (GenAI) and Agentic AI solutions.

As a member of the AI Center of Excellence, this role will focus on addressing strategic AI needs across a wide range of business domains, contributing to scalable, high-impact solutions that accelerate innovation and improve outcomes.Responsibilities

The Senior AI/ML Engineer will play a crucial role in the AI Center of Excellence (CoE), supporting cross-functional teams across the organization.

This position will focus on designing, and developing machine learning (ML), artificial intelligence (AI), Generative AI (GenAI) and Agentic AI solutions.

As a member of the AI Center of Excellence, this role will focus on addressing strategic AI needs across a wide range of business domains, contributing to scalable, high-impact solutions that accelerate innovation and improve outcomes.Qualifications

Knowledge of:


* Machine learning algorithms, deep learning frameworks, Cloud AI technologies, GenAI technologies and emerging Agentic AI technologies.


* Cloud platforms (e.g., AWS, Azure, GCP) for scalable AI/ML development.


* Responsible AI principles, including bias mitigation and ethical deployment.


* ML Ops best practices including CI/CD for ML, model monitoring, and versioning.


* Proficient in Python and common ML/AI libraries (e.g., TensorFlow, PyTorch, scikit-learn).


* Strong understanding of data engineering, SQL, and feature engineering.


* Direct experience with cloud services such as AWS Sagemaker, Lambda, ECS, S3, and IAM.


* Familiarity with containerization (Docker) and orchestration (e.g., Airflow, Kubeflow).


* Working with version control and collaboration tools (Git, Jira, Confluence).

Ability to:


* Build robust, scalable, and efficient AI/ML solutions in cloud-native environments.


* Translate ambiguous business problems into clear, technical ML/AI tasks.


* Communicate complex ideas clearly to technical and non-technical stakeholders.


* Learn and adapt quickly to emerging AI technologies, techniques, and tools.

Education and/or Experience:


* A bachelor's degree in computer science, information technology, engineering, or a related field is required.

However, equivalent related experience and/or education may be considered as a substitute for the degree requirement upon evaluation.


* 5+ years of experience designing and deploying ML/AI solutions in real-world environments.


* Or a combination of 8 or more years of experience of software development/engineering, of which three or more years are AI/ML experience.


* Proven experience with GenAI tools and technologies (e.g., LLMs, prompt engineering, Vector databases, RAG, fine-tuning)

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