Live opening · Posted 3 days ago

Gen AI Architect

Tata Consultancy Services (TCS) · Pune City, Maharashtra, India (On-site)
Linkedin No
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At a glance

The key details from the original listing.

Posted 3 days ago
CompanyTata Consultancy Services (TCS)
LocationPune City, Maharashtra, India (On-site)
Work modeNo
SourceLinkedin
Listed3 days ago

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About the role

Description supplied by the original job listing.

About the Unit:
TCS Data & Analytics is powering the AI revolution by transforming data into a strategic enterprise asset. Built on the philosophy of Smart Data for Smarter AI, it enables organizations to create intelligent, AI-ready ecosystems that accelerate innovation, unlock new value, and drive business transformation at scale. As AI reshapes industries, TCS is helping businesses turn data into their most powerful competitive advantage.
Role - Gen AI Architect
Location - Pune
Experience - 6-15 years
Gen AI · Experience in LLMs, Embedding Models, Prompt Engineering · Knowledge of statistical programming languages like Python · Good applied statistical skills · Good knowledge of machine learning algorithms · Proficiency in handling imperfections in data & generating insights and patterns. · Experience with Data Visualization Tools · Fine tuning of LLM · Evaluation Framework (RAGAS, ROUGE, BLUE Scrore) · Autoencoding model (Encoder: ROBERTA/ BERT/ DistilBERT) · Langsmith framework · Autoregressive model (Decoder: GPT/ BLOOM/ LLama/ Mistral/ Claude/ CodeGen/ OPT/ PaLM · RAG/Multimodal Architecture using Langchain/ LlamIndex · MCP Architecture · Experience Agentic AI Framework ( Crew AI, AutoGen, LangGraph, Google AVD etc. ) · Experience in Model deployment, LLMOps, Scalability and Performance · Fine tuning of LLM · AI ML exp. · Candidate has exp. in Transformer Architecture (Encoder and decoders) · Knowledge Graph implementation (If anyone has created knowledge graph, that's good)
Good-to-Have · Excellent Communication Skills · Strong Software Engineering Background (Productionizing the models) · Hands-on experience with data science tools · Problem-solving aptitude · Analytical mind and great business sense

Work arrangement
No

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