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AI ML Engineer - Optum
ML Engineer
Lead the design and deployment of AI/ML solutions on AWS, building scalable pipelines and models that drive health outcomes across global platforms.
About the role
Key Responsibilities
- Architect and implement end‑to‑end AI/ML pipelines using Python and AWS services (SageMaker, Lambda, S3, Glue).
- Develop and train deep learning models for medical imaging, NLP, and predictive analytics.
- Collaborate with data scientists, clinicians, and product teams to translate clinical needs into technical solutions.
- Ensure model performance, reproducibility, and compliance with healthcare data regulations.
- Mentor junior engineers and promote best practices in model versioning, monitoring, and deployment.
Requirements
- 5+ years of experience in AI/ML engineering within a regulated industry.
- Proficiency in Python, TensorFlow/PyTorch, and AWS ML services.
- Strong background in data engineering, SQL, and cloud architecture.
- Excellent communication skills and ability to work cross‑functionally.
- Experience with MLOps tools (MLflow, Kubeflow) and CI/CD pipelines is a plus.
Skills
pythonmachine learningawsdeep learning