MLOps / Cloud Engineer
Job Description
We are looking for an MLOps / Cloud Engineer to deploy, operate, and scale ML and GenAI models in production. You will be responsible for building automated pipelines, managing cloud infrastructure, and ensuring reliable, secure, and governed AI operations across the platform.
Key Responsibilities
• Deploy and operate ML & GenAI models in production environments
• Build and maintain automated ML pipelines, CI/CD workflows, and release processes
• Implement monitoring, alerting, and observability for models and data pipelines
• Manage Azure cloud infrastructure for model training and inference
• Handle model governance, versioning, drift detection, and lifecycle management
• Ensure scalability, reliability, and performance of production AI systems.
Requirements
Required Skills & Experience
• Strong hands-on experience in MLOps and production ML systems
• Solid expertise with Azure cloud services
• Experience with Databricks and Snowflake in data/ML workflows
• Hands-on experience with GPU-based workloads for training or inference
• Knowledge of monitoring, orchestration, and production reliability best practices
• Fluent English (written and spoken)
Nice to Have
• Experience with Kubernetes, Terraform, or Infrastructure as Code
• Familiarity with model registries and feature stores
• Experience supporting GenAI / LLM workloads at scale
About Division5
For 10+ years, we've created solutions that improve lives. We tackle complex projects others avoid. Our DNA: boldness and courage. We say yes when others say no.
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