ML Engineer

Job Description

• 8 years ML Engineering on Azure Platform (Azure Functions, Kubernetes, Pandas, Polars, etc.).
• Strong Python is a must
• ML-Ops is a plus
• Will work within existing team to deploy models trained by data scientists, access data from data engineering pipelines to match accuracy of trained model, and work with DevOps engineers to make model output available to existing or net new applications.
• Will work with existing testing frameworks to test models prior to deployment.

Soft Skills

• Self-sufficient / work independently - work with minimal oversight
• Be able to run with ambiguity and ask clarifying questions