Transform AI operations with Microsoft as an MLOps Engineer focusing on Databricks. Your expertise in automated guardrails and governance will drive enterprise AI safety and efficiency. As part of the Applied Intelligence Platforms team, you’ll implement NIST AI RMF requirements into practical architectural controls.

Collaborating with cross-functional teams, you will enhance AI governance and risk management. This hands-on role involves developing operational procedures and ensuring robust AI lifecycle management. Key Responsibilities:
Implement secure deployment practices including automated builds
Develop operational runbooks and incident response strategies
Partner with teams to translate enterprise needs into technical solutions




Build and maintain AI pipelines ensuring robust lifecycle management
Own cost tracking and optimization for AI services Requirements:
Proficiency in Python and cloud engineering
Experience in MLOps and LLMOps across production solutions
Background in implementing automated governance controls
Hands-on experience in regulated settings
Understanding of NIST AI Risk Management Framework Utilize your skills in Python, AI governance, and operational resilience to support scalable AI deployments at Microsoft.

📌 Mlops Engineer At Microsoft Databricks Toronto (Canada)
🏢 Direct IT Recruiting
📍 Canada