Senior ML Engineer

Job Summary

Seeking a full-time Senior ML Engineer (MLOps) to build tooling and services for machine learning and generative AI products, manage application deployment, and mentor team members in a remote environment.

Key responsibilities

• Build tooling and services for machine learning and generative AI solutions in production
• Develop model evaluation metrics and testing frameworks
• Deploy and manage applications throughout the AI/ML SDLC process

Required qualifications

• 6+ years of experience deploying ML/AI solutions in production environments
• Proficient in writing high-quality code in Python
• Experience building RESTful APIs and using Protobuf messages
• Familiarity with Docker and deploying applications to Kubernetes
• Experience with relational and low-latency databases