Excellent Opportunity in TCS Gen AI Developer

1 week ago

Chennai, Tamil Nadu, India Tata Consultancy Services Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Total Exp : 4 to 8 Years

Location : PAN India

Skill : Gen AI Developer

Desired Skills:

  • Strong programming skills in
    Python
    with experience in building ML/NLP applications.
  • Hands-on experience with
    Deep Learning
    ,
    Machine Learning
    , and
    Natural Language Processing
    .
  • Proficiency in working with
    LLMs
    (e.g., GPT,Gemini, LLaMA, Mistral) and
    RAG
    architecture.
  • Experience with
    Agentic AI
    frameworks and autonomous agent design.
  • Familiarity with
    FastAPI
    for building RESTful APIs.
  • Experience with
    CI/CD pipelines
    and deploying solutions on
    Azure Cloud, GCP and AWS
  • Solid understanding of data structures, algorithms, and software engineering principles.
  • Bachelor's or master's degree in computer science, AI, Data Science, or related field.
  • Retrieval Augmented Generation (RAG): Hands-on experience in building and optimizing RAG pipelines from scratch
  • Expert-level proficiency and hands-on experience with LangChain and/or LlamaIndex for building complex LLM applications, including chains, agents, memory, and tool integration.

Roles and Responsibilites:

  • Design and implement GenAI solutions leveraging LLMs, RAG pipelines, and Agentic AI architectures.
  • Develop and fine-tune deep learning models for NLP tasks using frameworks like PyTorch or TensorFlow.
  • Build scalable APIs using FastAPI to serve AI models and integrate with enterprise systems.
  • Collaborate with data scientists and ML engineers to deploy models using CI/CD pipelines on Azure.
  • Optimize model performance and ensure robustness in production environments.
  • Stay updated with the latest research and advancements in generative AI and deep learning.
  • Scalability & Performance:
    Ability to write efficient code and consider scalability and latency implications for Gen AI applications.

Containerization:
Practical experience with
Docker
for packaging and deploying applications.

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