AI Engineer/AI Lead (Data Science / Machine Learning | Azure MCP) (Noida)

Job Description

Expert AI Engineer/AI Lead (Data Science / Machine Learning | Azure MCP)Exp: 10 yearsRemoteOverviewWe 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, includingAzure 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 ResponsibilitiesBuild, 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, AzureML/Fabric, Azure Functions, App Services, and AKSDesign and operate MCP servers to expose enterprise tools, data sources, and workflows to AI agentsImplement secure MCP connectors for knowledge bases, databases/APIs, and internal services withRBAC and auditabilityPartner with data engineers to build feature stores, training pipelines, and inference pipelines using Fabric/ADLS/DatabricksImplement 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 lineageCollaborate with Product, UX, Platform, and Business stakeholders to deliver production-grade AI systemsRequired Qualifications10 years experience in Data Science, ML Engineering, or AI Engineering Strong Python skills with PyTorch, TensorFlow, scikit-learn, and frameworks such as Lang Chain orSemantic KernelHands-on experience with Azure OpenAI, Azure AI Search, Azure ML/Fabric, Azure Functions or AKS Experience building RAG architectures, AI agents, and AI APIsExperience deploying ML/AI to production with monitoring, scaling, and reliability practicesRobust understanding of the ML lifecycle, feature engineering, prompt engineering, and vector databasesPlease 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 yearsRemoteOverviewWe 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, includingAzure 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 ResponsibilitiesBuild, 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, AzureML/Fabric, Azure Functions, App Services, and AKSDesign and operate MCP servers to expose enterprise tools, data sources, and workflows to AI agentsImplement secure MCP connectors for knowledge bases, databases/APIs, and internal services withRBAC and auditabilityPartner with data engineers to build feature stores, training pipelines, and inference pipelines using Fabric/ADLS/DatabricksImplement 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 lineageCollaborate with Product, UX, Platform, and Business stakeholders to deliver production-grade AI systemsRequired Qualifications10 years experience in Data Science, ML Engineering, or AI Engineering Strong Python skills with PyTorch, TensorFlow, scikit-learn, and frameworks such as Lang Chain orSemantic KernelHands-on experience with Azure OpenAI, Azure AI Search, Azure ML/Fabric, Azure Functions or AKS Experience building RAG architectures, AI agents, and AI APIsExperience deploying ML/AI to production with monitoring, scaling, and reliability practicesRobust understanding of the ML lifecycle, feature engineering, prompt engineering, and vector databasesPlease 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.

Keyskills :
Data ScienceMachine LearningMicrosoft AzureMCPPythonML EngineeringPyTorchTensorFlowscikitlearn