MLOps Engineer

AI & Data · Remote · Full-time · 4+ years · $90,000 - $120,000 / year

Own the infrastructure that takes AI models to production reliably — pipelines, deployment, monitoring, and cost control at scale.

Responsibilities

• Build and maintain automated training and deployment pipelines.
• Monitor model health, latency, and cost in production.
• Improve reliability and scalability of AI services.

Requirements

• Experience with Docker, CI/CD, and cloud (AWS/GCP).
• Model deployment, versioning, and monitoring in production.
• Strong Python and infrastructure-as-code skills.