AI Engineer AI Lead Data Science Machine Learning Azure MCP Noida

Expert AI Engineer AI Lead Data Science Machine Learning Azure MCP Exp 10 years Remote Overview We are seeking an experienced AI Engineer with a strong background in Data Science and Machine Learning and handson experience building and operating AI solutions on Microsoft Azure including Azure AI Foundry Azure OpenAI Fabric and Azure MCP Model Context Protocol This role blends advanced ML GenAI development with productiongrade engineering and cloud architecture to deliver scalable secure enterprise AI systems Key Responsibilities Build finetune and deploy ML and GenAI models predictive models NLP embeddings RAG pipelines LLMpowered agents Design endtoend AI architectures using Azure AI Foundry Azure OpenAI Azure AI Search Azure ML Fabric Azure Functions App Services and AKS Design and operate MCP servers to expose enterprise tools data sources and workflows to AI agents Implement secure MCP connectors for knowledge bases databases APIs and internal services with RBAC and auditability Partner with data engineers to build feature stores training pipelines and inference pipelines using Fabric ADLS Databricks Implement CI CD for models and prompts monitoring drift detection retraining pipelines and versioning Implement security and governance using RBAC Managed Identities Azure Key Vault logging and data lineage Collaborate with Product UX Platform and Business stakeholders to deliver productiongrade AI systems Required Qualifications 10 years experience in Data Science ML Engineering or AI Engineering Strong Python skills with PyTorch TensorFlow scikitlearn and frameworks such as Lang Chain or Semantic Kernel Handson experience with Azure OpenAI Azure AI Search Azure ML Fabric Azure Functions or AKS Experience building RAG architectures AI agents and AI APIs Experience deploying ML AI to production with monitoring scaling and reliability practices Robust understanding of the ML lifecycle feature engineering prompt engineering and vector databases Please share suitable profiles for the requirement Disclaimer This job posting has been aggregated from external source Role details content and availability are subject to change Applicants are advised to confirm the latest information directly on the company website before applying Expert AI Engineer AI Lead Data Science Machine Learning Azure MCP Exp 10 years Remote Overview We are seeking an experienced AI Engineer with a strong background in Data Science and Machine Learning and handson experience building and operating AI solutions on Microsoft Azure including Azure AI Foundry Azure OpenAI Fabric and Azure MCP Model Context Protocol This role blends advanced ML GenAI development with productiongrade engineering and cloud architecture to deliver scalable secure enterprise AI systems Key Responsibilities Build finetune and deploy ML and GenAI models predictive models NLP embeddings RAG pipelines LLMpowered agents Design endtoend AI architectures using Azure AI Foundry Azure OpenAI Azure AI Search Azure ML Fabric Azure Functions App Services and AKS Design and operate MCP servers to expose enterprise tools data sources and workflows to AI agents Implement secure MCP connectors for knowledge bases databases APIs and internal services with RBAC and auditability Partner with data engineers to build feature stores training pipelines and inference pipelines using Fabric ADLS Databricks Implement CI CD for models and prompts monitoring drift detection retraining pipelines and versioning Implement security and governance using RBAC Managed Identities Azure Key Vault logging and data lineage Collaborate with Product UX Platform and Business stakeholders to deliver productiongrade AI systems Required Qualifications 10 years experience in Data Science ML Engineering or AI Engineering Strong Python skills with PyTorch TensorFlow scikitlearn and frameworks such as Lang Chain or Semantic Kernel Handson experience with Azure OpenAI Azure AI Search Azure ML Fabric Azure Functions or AKS Experience building RAG architectures AI agents and AI APIs Experience deploying ML AI to production with monitoring scaling and reliability practices Robust understanding of the ML lifecycle feature engineering prompt engineering and vector databases Please share suitable profiles for the requirement Disclaimer This job posting has been aggregated from external source Role details content and availability are subject to change Applicants are advised to confirm the latest information directly on the company website before applying