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 environment.

Key responsibilities

• Operationalize machine learning models to integrate with production systems
• Develop and maintain APIs and pipelines for machine learning outputs
• Monitor and enhance infrastructure to support machine learning applications

Required qualifications

• Strong experience in MLOps and machine learning engineering
• Proficiency with AWS and familiarity with Bedrock, Generative AI, or agentic AI
• Experience in developing production-ready machine learning models
• Knowledge of data pipelines and infrastructure management
• Understanding of traditional data science methodologies