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Lead AI/ML Software Engineer - Optum
Software Engineer
Lead AI/ML Software Engineer driving end‑to‑end AI solutions in healthcare, leveraging Python, deep learning, and AWS to build scalable, high‑impact models for clinical decision support.
About the role
Key Responsibilities
- Architect and develop production‑grade AI/ML pipelines using Python and deep learning frameworks (PyTorch/TensorFlow).
- Collaborate with data scientists to translate research prototypes into scalable services on AWS (SageMaker, Lambda, ECS).
- Design and maintain data ingestion, feature engineering, and model monitoring workflows in a cloud‑native environment.
- Lead code reviews, enforce best practices, and mentor junior engineers on ML engineering principles.
- Partner with cross‑functional teams to define product requirements and deliver AI features that improve clinical outcomes.
Requirements
- 5+ years of software engineering experience with a focus on AI/ML in production.
- Proficiency in Python, deep learning libraries, and cloud services (AWS).
- Strong background in data engineering, feature pipelines, and model deployment.
- Experience with CI/CD, containerization (Docker, Kubernetes), and automated testing.
- Excellent communication skills and a passion for solving complex healthcare challenges.
Skills
pythonmachine learningawsdeep learning