Lead Machine Learning Engineer

Job Summary

A company is looking for a Lead Machine Learning & DevOps Engineer.

Key Responsibilities

• Productionize ML prototypes into scalable, secure, and maintainable production systems
• Build and integrate back-end services and front-end interfaces for user-friendly applications
• Design and deploy applications using GPU-accelerated cloud infrastructure and manage the AI model lifecycle

Qualifications

• 5+ years of experience in software engineering, focusing on ML or scientific computing
• Proven experience in transitioning ML models from prototype to production in a cloud environment
• Deep proficiency in Python, Flask/FastAPI or Django, and JavaScript/TypeScript with React
• Experience with cloud platforms (AWS, GCP, or Azure) and production-scale AI inference frameworks
• Familiarity with Docker, Kubernetes, and experiment tracking tools like MLflow and W&B