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6-15 Years
Early Applicant
  • Posted 4 hours ago
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Job Description

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

More Info

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Key Skills

Agentic AI Framework Crew AI AutoGen LangGraph Google AVD

RAG Multimodal Architecture using Langchain LlamIndex

LLMs

Data Visualization Tools

Knowledge Graph implementation

MCP Architecture

Fine tuning of LLM

Autoregressive model Decoder GPT BLOOM LLama Mistral Claude CodeGen OPT PaLM

Autoencoding model Encoder ROBERTA BERT DistilBERT

Model deployment LLMOps Scalability and Performance

Transformer Architecture Encoder and decoders

Statistical programming languages

Embedding Models

Prompt Engineering

Langsmith framework

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