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Excellent Opportunity in TCS! Gen AI Developer - Coimbatore

4 - 8 years

0 Lacs

coimbatore tamil nadu india

Posted:1 day ago| Platform: Linkedin logo

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Skills Required

ai developer programming ml mistral azure gcp data algorithms software engineering retrieval design learning pytorch fastapi model research scalability code latency packaging

Work Mode

On-site

Job Type

Full Time

Job Description

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:

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