Machine Learning Engineer II

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Requirements:

• 3+ years of experience in Machine Learning Engineering or related technology roles.
• Healthcare experience preferred but not required.
• Experience with Python and data science libraries (numpy, pandas, sklearn, tensorflow, pytorch).
• Strong foundation in feature engineering and selection.
• Experience in interpreting, modifying, and debugging production ML model inputs and outputs.
• Experience in building and refactoring distributed systems, especially ML systems.

Responsibilities:

• Create, debug, interpret and improve production ML models.
• Design, implement and validate pieces of high-reliability, distributed platforms for ML.
• Build tools and validation processes to translate insights into action at scale.
• Utilize commercial and open-source tools for production platform creation.
• Collaborate with Data Science and Engineering teams for platform value.
• Document, iterate, and offer tutorials for ease of use by Data Scientists and Engineers.