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Full time
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AI Architect

Tata Consultancy ServicesPune, MaharashtraIndiaPosted 29 Jul 2026

Quick Overview

Work Type
Hybrid
Schedule
Full Time
Level
Mid Senior

Job Description

TCS Interactive invites Technology professionals for a Face-to-face Interview in TAJ Vivanta Pune 1st Aug 26 (Saturday)

It is time for you to make to Tata Consultancy Services.

Role: AI Architect

Interview Date: 1st Aug 26 (Saturday)

Experience: 7+ years

Mode of Interview: F2F

Location: TAJ Vivanta Pune

Mode of Hire: Fulltime/Permanent/FTE

NOTE : "Only candidates who can attend the Walk-in on 1st Aug 26 (Saturday) are eligible to apply. Please apply only if you are available on that day."

  • Experience: 4+ years of professional experience in data science, machine learning, and AI, with specific experience in NLP, LLMs, and GenAI applications.
  • Education: Bachelor's or master's degree in a quantitative field such as Computer Science, Statistics, Mathematics, Engineering, or a related discipline.
  • Programming Languages: Strong proficiency in Python is mandatory, with experience in data science libraries like NumPy, Pandas, and Scikit-learn. Knowledge of SQL is also essential for data extraction and manipulation.
  • AI/ML Frameworks: Expertise deep learning frameworks such as PyTorch and TensorFlow. Familiarity with Hugging Face transformers, NLTK, or SpaCy is also common.
  • GenAI/NLP Specific Tools & Techniques:
  • Experience with LLM frameworks like LangChain and LlamaIndex.
  • Knowledge of building retrieval systems using vector databases (e.g., Pinecone, Weaviate, ChromaDB, FAISS).
  • Proficiency in NLP techniques include embeddings, topic modeling, text classification, semantic search, and summarization.
  • Cloud Platforms: Hands-on experience with major cloud computing services (AWS, Azure, GCP) for model deployment and leveraging services like Azure OpenAI, Google Vertex AI, or AWS Bedrock.
  • Problem-Solving: Strong analytical, problem-solving, and statistical skills.

If you're ready to take your career to the next level and be part of a dynamic, growth-driven environment, we'd love to connect with you!

Skills

GCP
SQL
AWS
Machine Learning
NLP
NumPy
Scikit-learn
Azure
Deep Learning
Hugging Face
LLM
Pandas
PyTorch
Python
TensorFlow

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