Description

As an MLOps Engineer focusing on Azure and AI/ML platforms, you will design and manage robust MLOps systems, ensuring the reliable deployment and operation of AI models while collaborating with cross-functional teams to drive impactful solutions.

Requirements

• •Strong experience in DevOps and MLOps within Azure environments
• •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 operate independently and deliver value with minimal onboarding
• •Clear communication skills across technical and non-technical stakeholders
• •Experience with LLMs, GenAI, or AI agents in production
• •Background in enterprise data platforms or large-scale analytics environments
• •Familiarity with Microsoft Fabric and modern lakehouse architectures

Tasks

• •Design, build, and operate MLOps platforms on Azure for enterprise-scale AI systems
• •Deploy, monitor, and manage AI/ML models in production, including LLMs
• •Build and maintain MLOps pipelines for training, deployment, versioning, and rollback
• •Implement model monitoring, logging, performance tracking, and lifecycle management
• •Integrate AI systems with Azure ML, Databricks, and manage secure permissions/groups
• •Collaborate closely with data engineers, AI engineers, and product teams
• •Ensure reliability, scalability, and compliance of AI workloads in production

Tools & Technologies

Benefits