AI Engineer MLOps / AIOps (Azure

As an AI Engineer specializing in MLOps / AIOps on Azure, your role will involve the following responsibilities:

• Deploy, monitor, and manage AI/ML models on Azure cloud platforms
• Build and maintain MLOps pipelines for CI/CD and lifecycle management
• Ensure model performance, reliability, and scalability through monitoring and telemetry
• Manage model versioning, upgrades, and release processes
• Optimize AI systems for performance and cost efficiency
• Implement governance, security, and audit controls for AI deployments
• Collaborate with data scientists, developers, and cloud teams

Qualifications required for this role include:

• 3+ years of experience in MLOps / AIOps / ML Engineering
• Strong experience with Azure ML, Data Lake, Synapse, App Services, Cosmos DB
• Experience with CI/CD tools such as GitHub Actions or Azure DevOps
• Strong understanding of ML lifecycle, deployment, and monitoring
• Proficiency in Python and data workflows

Joining this team will provide you with the opportunity to:

• Work with a fast-growing global AI practice
• Gain exposure to enterprise-scale AI implementations
• Be part of a strong learning and growth environment
• Collaborate with global stakeholders and leadership teams If you have 3+ years of experience in MLOps / AIOps / ML Engineering, strong Azure ML skills, proficiency in Python, and a desire to work in a high-growth environment, this role may be the right fit for you. Contact S Krishnan @8309618146 for further details and to express your interest in this exciting opportunity. As an AI Engineer specializing in MLOps / AIOps on Azure, your role will involve the following responsibilities: