Senior ML Systems Engineer

Job Summary

As a full-time Senior or Staff ML Systems Engineer specializing in Large Language Models (LLMs), the successful candidate will build and scale the technical infrastructure for AI/ML systems remotely, focusing on creating reusable CI/CD workflows, automating model versioning, and enhancing AI infrastructure.

Key responsibilities

• Build reusable CI/CD workflows for model training, evaluation, and deployment
• Automate model versioning, approval workflows, and compliance checks across environments
• Partner with engineering and data science teams to embed AI models into real-time applications

Required qualifications

• Strong background in scalable infrastructure, including containerization and orchestration (e.g., Docker, Kubernetes)
• Experience with ML Ops best practices, including model versioning and automated evaluation
• Proficiency in deploying and maintaining LLM and agentic workflows in production
• Ability to write high-quality, maintainable software primarily in Python
• Demonstrated ownership and pragmatism in balancing infrastructure elegance with delivery