Cognizant -Hiring for GENAI Role - Walk - IN Drive

Job Location: Bangalore, Hyderabad, Pune

Date: 22-Aug-2026

Time - 9am 11am

Venue:

Pune:

Cognizant, Hinjewadi Phase 1 (HIN), Cafeteria, 1st Floor, Plot Number: 28, Rajiv Gandhi Info Tech Park, MIDC, Hinjewadi, Phase 1 Pune-411 057

Bangalore:

Cognizant Technology Solutions, Manyata Embassy Business Park, F3 Building Outer Ring Road, Near Nagawara Rachenahalli Village Bangalore 560045

Must Have skill - Gen AI, AWS, Azure, Langchain

Experience - 5 To 10 years

Build GenAI applications using Python for tasks like summarization, chatbots and intelligent automation.Fine tune and deploy LLMs and traditional ML models for classification, prediction, and decisioning.

Design solutions using embeddings, vector search, and retrieval augmented generation (RAG).

Integrate models with AWS services like SageMaker, Lambda, Bedrock and data platforms like Snowflake.

Collaborate across teams to embed AI/ML into business workflows and automation pipelines.

Preferred Skills

Solid Python skills with experience in GenAI frameworks like LangChain, Hugging Face, OpenAI.

Solid grounding in ML algorithms, model training and evaluation.

Familiarity with prompt engineering,



tokenization and model optimization.

Hands-on with AWS tools for scalable deployment and serverless execution.

Ability to connect models to APIs, data sources and orchestration tools.

Build GenAI applications using Python for tasks like chatbots, summarization and intelligent automation.

Develop and fine tune LLMs and ML models for classification, prediction, and decision support.

Design solutions using embeddings, vector search, and retrieval augmented generation (RAG).

Deploy models using Azure Machine Learning and Azure OpenAI scale with Azure Functions and Cognitive Services.

Integrate AI systems with APIs, enterprise data platforms and business workflows.

Preferred Skills

Strong Python development with experience in GenAI frameworks like LangChain, Hugging Face, OpenAI.

Solid foundation in ML algorithms, training pipelines and evaluation techniques.

Familiarity with prompt engineering, tokenization and model optimization.

Hands-on with Azure cloud tools for model lifecycle, deployment,and serverless execution.

Ability to connect models to data sources, automation tools and orchestration platforms.

📌 Gen AI (Pune)
🏢 Cognizant
📍 Pune