Full-Time Machine Learning Engineer

As a member of the Machine Learning Engineering team, you will work with technical and nontechnical stakeholders to design, build, and manage the infrastructure, platforms, and tools that power AI applications across our health system.

Responsibilities:

• Design, build, and manage the infrastructure, platforms, and tools for AI applications.

Required Skills:

• Bachelor’s degree or equivalent experience in Computer Science, Engineering, Mathematics, or a related field
• At least 3 years of experience developing, scaling, or deploying machine learning models
• Professional experience with AWS, Azure, or GCP
• Proficiency in SQL, Python, and a deep learning framework (e.g. TensorFlow, PyTorch)
• Hands-on experience with containerization (Docker preferred)
• Demonstrable experience with version control in a team environment
• Deep understanding of fundamental computer science concepts
• Commitment to writing clean, readable, tested, and well-documented code
• Demonstrable professional experience with CI/CD and RESTful APIs

Preferred Skills:

• Master’s or PhD in Computer Science, Engineering, Mathematics, or a related field
• Production experience with Databricks, Spark, and/or Kubernetes
• Familiarity with Large Language Models, Generative AI, and RAG systems
• Knowledge of computer vision workflows and models
• Familiarity with asynchronous programming patterns
• Familiarity with GitHub or Azure DevOps
• Hands-on experience with Terraform
• Experience with C, C++, C#, or Go
• Healthcare experience
• Epic experience

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