AI/ML Engineer - Optum

Key Responsibilities

• Collaborate with senior AI/ML engineers to design, prototype, and iterate novel model architectures for healthcare applications.
• Develop end‑to‑end machine learning pipelines, from data ingestion and preprocessing to model training, evaluation, and deployment.
• Implement scalable solutions on AWS, ensuring robust performance, security, and compliance with healthcare regulations.
• Conduct rigorous experimentation, A/B testing, and performance analysis to validate model improvements.
• Document methodologies, results, and best practices for cross‑functional teams and future reference.

Requirements

• Strong proficiency in Python and experience with deep learning frameworks such as TensorFlow or PyTorch.
• Hands‑on experience building and deploying ML models in cloud environments, preferably AWS.
• Solid understanding of data engineering concepts and ability to work with large, complex datasets.
• Excellent problem‑solving skills and a collaborative mindset.
• Experience in the healthcare or life‑sciences domain is a plus.