Artificial Intelligence Engineer

• *The Role**

As an **AI Data Engineer** specializing in MLOps and AIOps, you will play a critical role in deploying, operating, and optimizing enterprise\-grade AI solutions built on Azure. You will collaborate closely with AI Developers, Product Owners, Governance leaders, and Cloud Architects to ensure these systems are reliable, scalable, and cost\-effective.

This role goes beyond traditional DevOps—it's about engineering AI into the fabric of enterprise operations, enabling secure, observable, and governed machine learning deployments that deliver measurable business value.

• *What You Will Be Responsible For**

• Deploy and monitor AI models across Azure services with robust telemetry for performance, drift, and availability
• Manage model upgrades including APIs and UIs with structured rollout, version control, and rollback support
• Optimize performance and cost through testing, profiling, and tuning of inference infrastructure and pipelines
• Implement MLOps pipelines for continuous integration, deployment, and lifecycle management using Azure ML and GitHub Actions
• Ensure compliant change management for all AI\-related deployments, with auditability, security, and governance controls

• *What We're Looking ForBasic Qualifications**

• Bachelor's degree in Computer Science, Engineering, Data Science, or related technical field
• 3\+ years of hands\-on experience in MLOps and/or AIOps, ideally within an Azure cloud environment
• Demonstrated expertise with Azure ML, Synapse, Data Lake, App Services, Cosmos DB, and Azure AI Foundry

• *Preferred/Desired Qualifications**

• Consulting background with a strong bias for action
• Experience with Workflow Design: Prompt flow, automation pipelines, and human\-in\-the\-loop systems
• Knowledge of Post\-Training Techniques: Fine\-tuning, instruction tuning, RLHF, and domain adaptation
• Proficiency with Azure DevOps, App Insights, Log Analytics, Key Vault, and Managed Identity integration
• Experience with tools for inference performance testing and profiling (e.g., locust, K6, or custom scripts)
• Strong understanding of Model Evaluation: Performance metrics, benchmark development, and A/B testing frameworks
• Knowledge of model observability, telemetry, and incident response for AI systems

Application Question(s)

• Do you hold a Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field?
• Do you have 3 or more years of hands\-on experience in MLOps and/or AIOps?
• Have you worked with Azure ML, Synapse, Data Lake, App Services, Cosmos DB, and Azure AI Foundry?
• Have your firm changes not exceeded 50% of your total years of professional experience?
• How many years of hands\-on MLOps and/or AIOps experience do you have?
• Salary budget is INR 3000000 \- 3500000Max what are your expectations?

Work Location: In person