onsite
Senior AI/ML Engineer - Strategy and Execution - EY
ML Engineer
Senior AI/ML Engineer driving strategy and execution of growth platforms, building scalable machine‑learning solutions on AWS using Python, deep‑learning frameworks, and data‑engineering pipelines.
About the role
Key Responsibilities
- Design, develop, and deploy end‑to‑end machine‑learning models that support strategic growth initiatives for clients.
- Collaborate with strategy consultants and data scientists to translate business problems into scalable AI solutions.
- Build and maintain data pipelines and feature stores on AWS, ensuring data quality, security, and performance.
- Implement, test, and optimize deep‑learning models using frameworks such as TensorFlow or PyTorch.
- Provide technical leadership, mentor junior engineers, and contribute to best‑practice documentation.
Requirements
- 5+ years of professional experience in Python‑based machine‑learning development.
- Strong expertise in building, training, and deploying deep‑learning models (TensorFlow, PyTorch, or similar).
- Hands‑on experience with AWS services (SageMaker, EC2, S3, Lambda) and infrastructure‑as‑code tools.
- Proficiency in SQL and data‑engineering concepts, including ETL pipeline construction.
- Excellent problem‑solving skills and ability to communicate technical concepts to non‑technical stakeholders.
Skills
pythonmachine learningdeep learningawssql