remote
Lead AI/ML Engineer- Hybrid Eden Prairie, MN - Optum
ML Engineer
Lead AI/ML Engineer driving advanced machine learning solutions on AWS to transform healthcare data into actionable insights, leveraging Python, deep learning, and data engineering expertise.
About the role
Key Responsibilities
- Architect and deploy end‑to‑end ML pipelines on AWS, ensuring scalability, security, and compliance with healthcare regulations.
- Lead a cross‑functional team in developing deep learning models for clinical decision support, predictive analytics, and natural language processing of medical records.
- Collaborate with data scientists, clinicians, and product managers to translate business requirements into robust AI solutions.
- Implement best practices for model monitoring, versioning, and continuous improvement using tools such as SageMaker, Docker, and CI/CD pipelines.
- Mentor junior engineers, conduct code reviews, and promote a culture of experimentation and data‑driven decision making.
Requirements
- 8+ years of experience in AI/ML engineering with a strong focus on healthcare applications.
- Proficiency in Python, TensorFlow/PyTorch, and AWS services (SageMaker, Lambda, S3, Glue).
- Deep knowledge of data engineering concepts, including ETL, data warehousing, and big data processing.
- Experience with deep learning architectures (CNNs, RNNs, Transformers) and NLP techniques.
- Excellent communication skills and ability to translate complex technical concepts to non‑technical stakeholders.
Skills
pythonmachine learningawsdeep learning