MLOps Engineer
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Job Summary
Bridging the gap between traditional data science and production engineering, the full-time MLOps Engineer will operationalize machine learning models through APIs, pipelines, and infrastructure, while working primarily in a remote capacity.
Key responsibilities
- Operationalize machine learning models for production systems, ensuring seamless integration through APIs and pipelines
- Collaborate with data science teams to transition from model development in Databricks to a robust engineering framework
- Implement and monitor infrastructure for machine learning applications, focusing on AWS and MLOps best practices
Required qualifications
- Strong experience in MLOps and machine learning engineering
- Proficiency in AWS services and infrastructure management
- Familiarity with Databricks for model development
- Experience with APIs and data pipelines for production deployment
- Knowledge of Generative AI or agentic AI is a plus
Complete Job Description
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