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Gen AI & ML Developer

Tata Consultancy Services

Visakhapatnam, Andhra Pradesh, India · પૂર્ણ સમય

અરજી કરનારા સૌ પ્રથમ બનો

અનુભવ
૫-૧૨ વર્ષ
પગાર
ઓપનિંગ્સ
1
પોસ્ટ કર્યું
એક કલાક પેહલા
કાર્ય મોડ
ઓફિસમાં
લાયકાત
Professionals with 5 to 12 years of relevant experience who can attend the face-to-face interview in Visakhapatnam on 11 July 2026.
ફરી શરૂ કરો
અરજી કરવી જરૂરી છે

તમે ક્યાં કામ કરશો

કામનું વર્ણન

Role overview

Tata Consultancy Services is conducting an in-person recruitment drive for a Gen AI & ML Developer role in Visakhapatnam. The position is aimed at experienced professionals who can contribute to enterprise AI solutions using generative AI and machine learning.

Interview details

This is a face-to-face drive scheduled for 11 July 2026 (Saturday) in Visakhapatnam. Interview timings are from 9:00 AM to 2:00 PM. Candidates should be available to attend in person at TCS Visakhapatnam Millennium Towers, IT Hill No. 3, Rushikonda.

Experience requirement

The role is open to applicants with 5 to 12 years of relevant experience.

Key responsibilities

  • Create, build, and roll out solutions based on generative AI and machine learning for real business needs.
  • Develop and improve AI/ML pipelines for model training, inference, and ongoing monitoring.
  • Work on applications that use large language models, prompt design, retrieval-augmented generation, and vector databases.
  • Handle both structured and unstructured datasets to design scalable, intelligent systems.
  • Connect AI models and APIs with enterprise tools, applications, and workflows.
  • Improve model performance by tuning, testing, and optimizing for accuracy, response time, and cost.
  • Maintain strong data quality, governance, and responsible AI practices in all solutions.
  • Partner with data engineering, product, and business stakeholders to deliver valuable AI outcomes.

Technical requirements

  • Strong working knowledge of Python, machine learning, and generative AI development.
  • Practical experience with LLMs, prompt engineering, RAG, and embeddings.
  • Exposure to tools and frameworks such as LangChain, LlamaIndex, TensorFlow, PyTorch, or similar technologies.
  • Experience with vector databases, deployment of models, and API integration.
  • Good grasp of the ML lifecycle, model assessment, and MLOps principles.
  • Familiarity with cloud platforms such as Azure, AWS, or GCP.
  • Comfort working in Agile environments and collaborating with stakeholders.

Additional information

This is a face-to-face hiring process rather than a remote or virtual interview. No stipend or salary details were provided in the source.

જો તમને જવાબ જોઈતો હોય તો તે છોડી દો — અમે તેનો ઉપયોગ બીજા કોઈ કામ માટે કરીશું નહીં.

બ્રાઉઝ કરવા માટે ક્લિક કરો, ખેંચો અને છોડો, અથવા પેસ્ટ કરો સ્ક્રીનશોટ

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