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 hands-on 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 production-grade engineering and cloud architecture to deliver scalable, secure, enterprise AI systems. Key Responsibilities Build, fine-tune, and deploy ML and GenAI models (predictive models, NLP, embeddings, RAG pipelines, LLM-powered agents) Design end-to-end 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 production-grade AI systems Required Qualifications 10+ years experience in Data Science, ML Engineering, or AI Engineering Strong Python skills with PyTorch, TensorFlow, scikit-learn, and frameworks such as Lang Chain or Semantic Kernel Hands-on 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 hands-on 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 production-grade engineering and cloud architecture to deliver scalable, secure, enterprise AI systems. Key Responsibilities Build, fine-tune, and deploy ML and GenAI models (predictive models, NLP, embeddings, RAG pipelines, LLM-powered agents) Design end-to-end 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 production-grade AI systems Required Qualifications 10+ years experience in Data Science, ML Engineering, or AI Engineering Strong Python skills with PyTorch, TensorFlow, scikit-learn, and frameworks such as Lang Chain or Semantic Kernel Hands-on 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.