πProfile:
-Strong experience with DevOps and MLOps in Azure environments
-Terraform, Databricks, CI/CD, Github Actions, LLMs
-Hands-on experience with Azure ML, Databricks, and AI/ML pipelines
-Proven experience deploying and operating AI/ML models in production
-Solid understanding of model versioning, monitoring, and lifecycle management
-Experience with CI/CD for ML systems
-Ability to work independently and deliver value with minimal onboarding time
-Clear communication skills with technical and non-technical stakeholders
πNice to have:
-Experience with LLMs, GenAI or AI agents in production
-Experience with enterprise data platforms or large-scale analytics environments
-Familiarity with Microsoft Fabric and modern lakehouse architectures
β‘οΈTasks:
-Design, build and operate MLOps platforms on Azure for enterprise-scale AI systems
-Deploy, monitor and manage AI/ML models in production, including LLMs
-Building and maintaining MLOps pipelines for training, deployment, versioning and rollback -Implementing model monitoring, logging, performance tracking and lifecycle management
-Integrating AI systems with Azure ML, Databricks and secure permissions/group management
-Working closely with data engineers, AI engineers, and product teams
-Ensuring the reliability, scalability, and compliance of AI workloads in production