Senior MLOps Engineer
Job Summary
Bridging the gap between traditional data science and production engineering, the full-time Senior MLOps Engineer will operationalize machine learning models through APIs, pipelines, and infrastructure while working in a flexible environment that allows for some remote opportunities.
Key responsibilities
- Operationalize machine learning outputs for production systems, focusing on APIs and pipelines
- Collaborate with data science teams to transition models from development to production
- Implement and monitor infrastructure for machine learning applications, ensuring reliability and performance
Required qualifications
- Strong experience with AWS and MLOps practices
- Proficiency in developing and deploying machine learning models
- Experience with Databricks and production engineering environments
- Familiarity with Bedrock, Generative AI, or agentic AI is a plus
- Ability to work in a collaborative team environment focused on engineering solutions
Complete Job Description
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