Senior MLOps Engineer

A client based in Arlington, VA is seeking a Senior MLOps Engineer to join their team in a contract-to-hire capacity, hybrid role, requiring 2-3 days per week in the office. The primary focus of this role is to build and optimize infrastructure for deploying, packaging, observing, and retraining machine learning models. This is not a model development role, but one centered on operationalizing existing models. The company specializes in providing transparent, customized financing solutions to small businesses, helping them access capital through a range of loans, credit, and factoring products.

Key Responsibilities:

• Set up and manage infrastructure for ML model deployment and monitoring.
• Package, version, and automate ML workflows using tools such as MLflow and CI/CD pipelines.
• Enable retraining pipelines and integrate with platforms like AWS SageMaker and Snowflake.
• Collaborate with existing data teams; no data warehousing responsibilities are expected.

Required Skills & Tools:

• Proficiency in Python, Docker, and Kubernetes.
• Hands-on experience with MLflow, SageMaker, and CI/CD pipelines.
• Familiarity with GitHub and Snowflake's ML features.
• Understanding of data warehousing concepts (execution is handled by other vendors).

Benefits:

• Health, Dental, Vision Insurance
• 401k
• Paid Sick Time
• Commuter Benefits

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