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Senior AI ML Engineer - Optum
ML Engineer
Lead the design and deployment of advanced NLP models in a cloud environment, driving health‑tech solutions that improve patient outcomes through scalable AI services.
About the role
Key Responsibilities
- Architect, develop, and production‑grade deploy state‑of‑the‑art NLP models for healthcare data using Python and deep learning frameworks.
- Collaborate with cross‑functional teams to translate clinical requirements into robust AI solutions and iterate on model performance.
- Design and maintain scalable pipelines on AWS, ensuring data integrity, security, and compliance with healthcare regulations.
- Mentor junior data scientists and engineers, fostering best practices in model versioning, testing, and documentation.
- Conduct rigorous evaluation, bias assessment, and continuous monitoring of deployed models to sustain high clinical relevance.
Requirements
- 10+ years of experience in machine learning with a focus on NLP and deep learning.
- Proficiency in Python, TensorFlow/PyTorch, and cloud services (AWS).
- Strong background in healthcare data, regulatory compliance, and model interpretability.
- Excellent communication skills and a proven track record of leading technical teams.
Skills
pythonmachine learningnlpdeep learningaws