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AI Engineer

AI Engineer

Tata Consultancy Serviceskannur, kerala, in
1 day ago
Job description

We are hiring for AI Engineer.

Role : AI Engineer

Experience : 5 years to 10 years

Location : PAN India

Note-Virtual Interview on 13-Nov-2025

Interested candidates can send their resume on below mail ID along with below details-

geethanjali.u@tcs.com

Please share below details-

Full Name : Email :

Contact Details :

Total Experience :

Current location :

Preferred location :

Relevant Experience :

Notice Period :

Current CTC :

Expected CTC :

Current Company Name :

Education or career gap (if any) :

EP Reference Number (if already registered with TCS) –

Highest Qualification :

Highest Qualification University Name :

Key responsibilities

  • Develop applications and systems that can help organizations increase efficiency, cut costs, increase profits, and make better business decisions.
  • Designing, developing, and implementing generative AI models and algorithms utilizing state-of-the-art techniques such as GPT, VAE, and GANs.
  • Collaborating with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals.
  • Fine tuning the existing generative AI models for improved performance, scalability, and efficiency.
  • Knowledge about various fine-tuning methods.

Facilitate the development and deployment of proof-of-concept machine learning systems

Key skills -

  • 5+ years of experience in implementation of AI (Gen AI) project.
  • a strong foundation in computer science, knowledge of machine learning algorithms, proficiency in programming languages like Python and scripting languages like SQL, NoSQL, Shell / PowerShell
  • and experience in data management and analysis.
  • Having experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras.
  • Having knowledge in Chat GPT, Open AI, Vector Database(Natural Language Processing), Prompt Engineering, RAG, Responsible AI, AI Guardrails , AI Observability
  • GenAI Frameworks
  • LangChain, LlamaIndex, DsPy, LangGraph

  • Backend Frameworks
  • Django REST, FastAPI

  • Hands on with cloud-based platforms and services, such as AWS, GCP, or Azure.
  • Cloud Knowledge
  • AWS, Azure Application and AI Services

    (Azure Function App, API Management (APIM), Cosmos DB, PostgreSQL, Azure AI Foundry, Azure

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