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    Job · 18016136

    Tata Consultancy Services logo

    Walk-in || Chennai Walk in AI/ML Developer

    Tata Consultancy Services · Chennai · onsite · Posted 36d ago

    Undisclosed4–9 yrsfulltimeSourced fromNaukri

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

    About this role

    Role & responsibilities

    • Strong knowledge of AI methodologies, including generative models, machine learning (ML), reinforcement learning, and natural language processing (NLP).
    • Design, implement, and opti mize generative AI architectures and models.
    • Build Agentic AI solutions using LLMs, including tool/function calling, Model Context Protocol (MCP), memory, workflows, and orchestration.
    • Collaborate with data scientists and analysts to collect, preprocess, and manage large datasets, ensuring data quality and integrity for model training.
    • Collaborate with cross-functional teams to integrate AI models into production environments, ensuring seamless deployment and operational efficiency.
    • Experience of cloud-based platforms (e.g., AWS, Azure, GCP) to develop and deploy scalable AI solutions, ensuring high availability and performance.
    • Strong hands-on experience in end-to-end AI/ML engineering, including data preprocessing, feature engineering, model training, evaluation, and optimization for production use cases.

    Preferred candidate profile


    Experience- 4 to 15 years

    Sourced from naukri

    Skills

    amazon web servicesArtificial IntelligenceMachine Learning

    About TCS

    Tata Consultancy Services logo

    Tata Consultancy Services

    IT Services & Consulting

    608.0k+

    employees

    1968

    58 years old

    Mumbai, Maharashtra

    India

    About

    An IT services and consulting firm offering business solutions, committed to driving innovation for global enterprises.

    Industries

    IT Services & ConsultingFinancial ServicesInternetEducation & TrainingBPO

    Employee ratings

    1,14,115 reviews

    3.3/ 5

    Culture

    3.2

    Career growth

    2.3

    Work-life

    3.5

    Employees rate it well for

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