MLOps Engineer

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 to make them usable in production environments
• Develop and manage APIs, pipelines, and monitoring systems for machine learning outputs
• Collaborate with cross-functional teams to integrate machine learning solutions into existing systems

Required qualifications

• Strong experience in MLOps and machine learning engineering
• Proficiency with AWS services and infrastructure
• Experience with Databricks for model development and training
• Understanding of APIs and data pipelines
• Familiarity with Bedrock, Generative AI, or agentic AI is a plus