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 environments
• Understanding of NIST AI Risk Management Framework

Utilize your skills in Python, AI governance, and operational resilience to support scalable AI deployments at Microsoft.
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📌 MLOps Engineer at Microsoft Databricks (Ontario)
🏢 Direct IT Recruiting
📍 Ontario