Machine Learning Ops Engineer

A company is looking for a Machine Learning Ops Engineer.

Key Responsibilities

Design and implement AI cost tracking and observability frameworks across Azure, Google Cloud, and Snowflake

Collaborate with cross-functional teams to integrate cost and performance monitoring into CI / CD pipelines

Work directly with the Chief Data Officer to ensure ML and AI systems produce accurate data for business decisions

Required Qualifications

At least 5 years of experience in MLOps, DevOps, or Cloud Engineering with a focus on AI or ML systems

Strong experience with Azure ML, Google Vertex AI / Gemini, or OpenAI Service

Advanced skills in Python and SQL, including stored procedures

Experience with observability tools like Datadog for latency and drift monitoring

Understanding of FinOps principles, cloud billing APIs, and cost optimization