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Gen AI & ML Developer

Tata Consultancy Services

Visakhapatnam, Andhra Pradesh, India · مکمل وقت

درخواست دینے والے پہلے فرد بنیں۔

تجربہ
5–12 yrs
تنخواہ
کھلنا
1
پوسٹ کیا گیا
3 گھنٹے قبل
کام کا موڈ
دفتر میں
اہلیت
Professionals with 5 to 12 years of relevant experience who can attend the face-to-face interview in Visakhapatnam on 11 July 2026.
دوبارہ شروع کریں۔
درخواست دینے کی ضرورت ہے۔

جہاں آپ کام کریں گے۔

ملازمت کی تفصیل

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.

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