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Client is looking for an experienced AI Data Engineer (MLOps/AIOps) to deploy, monitor, and optimize enterprise AI solutions on Azure. The role focuses on building scalable, secure, and high-performing AI systems while ensuring operational excellence across the AI lifecycle.

Bachelor's degree in Computer Science, Engineering, Data Science, or related field. 3+ years of MLOps/AIOps experience, preferably in Azure environments. Strong expertise in Azure ML, Synapse, Data Lake, Cosmos DB, App Services, and Azure AI Foundry. Experience managing production-scale AI/ML solutions. Hands-on experience with Azure DevOps, GitHub Actions, Key Vault, App Insights, and Log Analytics. Knowledge of AI workflows, model fine-tuning, RLHF, and evaluation frameworks. Experience with model monitoring, telemetry, performance testing, and incident management. Strong communication and stakeholder management skills.