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    Job · 15179361

    Tata Consultancy Services logo

    Azure AI Engineer

    Tata Consultancy Services · Hyderabad · onsite · Posted 51d ago

    Not disclosed6–8 yrsfulltimeSourced fromFoundit

    About a minute. You'll make an account on the way through.

    About this role

    Role: Azure AI Engineer

    Experience: 6+ Years

    Location: Bangalore/Hyderabad

    Role Summary

    We are seeking a highly skilled Azure AI Engineer to design, develop, and deploy AI-powered solutions leveraging Microsoft's Azure AI ecosystem. The ideal candidate will have hands-on experience with Generative AI, Large Language Models (LLMs), Azure OpenAI, Azure AI Services, Machine Learning, and cloud-native application development.

    Key Responsibilities

    • Design, develop, and deploy AI/ML and Generative AI solutions on Microsoft Azure.
    • Build enterprise AI applications using Azure OpenAI Service and Large Language Models (LLMs).
    • Develop Retrieval-Augmented Generation (RAG) solutions using Azure AI Search and vector databases.
    • Integrate AI capabilities into business applications through APIs and microservices.
    • Fine-tune prompts and optimize AI model performance for enterprise use cases.
    • Design and implement scalable, secure, and cost-efficient AI architectures.
    • Collaborate with business stakeholders to identify AI opportunities and convert them into production-ready solutions.
    • Monitor, troubleshoot, and improve AI applications for accuracy, performance, and governance.
    • Ensure AI solutions comply with security, privacy, and responsible AI guidelines.
    • Create technical documentation, architecture diagrams, and deployment guides.

    Required Technical Skills

    Azure AI & Generative AI

    • Azure OpenAI Service
    • GPT Models (GPT-4/4o or equivalent)
    • Prompt Engineering
    • Retrieval-Augmented Generation (RAG)
    • Azure AI Search
    • Azure AI Foundry / Azure AI Studio
    • Azure Cognitive Services
    • Azure Document Intelligence (Form Recognizer)

    Machine Learning & Data Science

    • Azure Machine Learning
    • Model training, deployment, and monitoring
    • Feature Engineering
    • Model Evaluation and Optimization

    Programming

    • Python (Mandatory)
    • REST APIs
    • LangChain or Semantic Kernel
    • SQL

    Azure Cloud

    • Azure Functions
    • Azure App Services
    • Azure Storage
    • Azure Key Vault
    • Azure Kubernetes Service (AKS)
    • Azure API Management

    Preferred Skills

    • Experience with Copilot implementations.
    • Knowledge of Vector Databases (Azure AI Search, Pinecone, ChromaDB, FAISS).
    • Experience with Agentic AI frameworks.
    • Experience in chatbot and virtual assistant development.
    • Exposure to Databricks and Azure Data Engineering ecosystem.
    • Knowledge of Responsible AI and AI Governance frameworks.

    Sourced from foundit

    Skills

    Model Evaluation and OptimizationPrompt EngineeringAzure AI FoundryAzure AiAzure Machine LearningAzure Cognitive ServicesAzure Storagefeature engineeringAzure Api ManagementAzure App servicesAzure Key VaultAzure OpenAI ServiceModel TrainingAzure AI SearchAzure Document IntelligenceGPT ModelsAzure AI StudioPythonSQLREST APILangchainGenerative AiAzure FunctionsDeployment and monitoring

    About TCS

    Tata Consultancy Services logo

    Tata Consultancy Services

    IT Services & Consulting

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