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    Job · 17922659

    Tata Consultancy Services logo

    Ai Ml Engineer

    Tata Consultancy Services · Chennai · onsite · Posted 35d ago

    Undisclosed9–14 yrsfulltimeSourced fromNaukri

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

    About this role

    • Strong knowledge of AI methodologies, including generative models, machine learning (ML), reinforcement learning, and natural language processing (NLP).
      • Design, implement, and optimize 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.
      • Proficiency in programming languages such as Python, .Net or Java, with experience in relevant libraries and frameworks (e.g., TensorFlow, PyTorch, Keras).

    Sourced from naukri

    Skills

    Natural Language ProcessingLarge Language Models (LLMs)Artificial 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

    Job Security22973Salary21006Work Life Balance15396Appraisal10413Work Culture8916

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