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Opening For GenAI- Python

Cognizant

Chennai

3-10 years

Today

$18.1K–28.9K/yr

Full-time

Hybrid

Skills Required LLM

Gen AI

RAG

Embeddings

Azure OpenAI

LangChain

Hugging Face

OpenAI

Prompt Engineering

Machine Learning

Vector Search

Azure Machine Learning

Azure Functions

Cognitive Services

AWS SageMaker

Description Cognizant is hiring for a GenAI Python role focused on building and deploying AI solutions. The position involves GenAI application development, model fine-tuning, and integration across cloud and enterprise platforms.

Company: Cognizant

Role: Opening For GenAI- Python

Location: PAN INDIA

Experience

- 5-10 years total experience
- Minimum 3+ years in GenAI
- Robust Python development
- Experience with GenAI frameworks such as LangChain, Hugging Face, OpenAI

Responsibilities

- Build GenAI applications using Python for 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 solutions with Azure Functions and Cognitive Services
- Integrate models with AWS services and data platforms like Snowflake
- Integrate AI systems with APIs, enterprise data platforms, and business workflows

Additional Responsibilities

- Use Azure, AWS, GCP, or open source approaches for LLMs and hyperparameters
- Apply RAG or other GenAI techniques based on the problem context
- Connect models to data sources, automation tools,



and orchestration platforms

Nice To Have

- Solid foundation in ML algorithms, training pipelines, and evaluation techniques
- Familiarity with prompt engineering, tokenization, and model optimization
- Hands-on experience with Azure cloud tools for model lifecycle, deployment, and serverless execution

More Skills Python, ML models, chatbots, summarization, intelligent automation, retrieval augmented generation (RAG), AWS Lambda, AWS Bedrock, Snowflake, APIs, enterprise data platforms, business workflows, hyperparameters, vector database, prompting techniques, zero shot, few shot, chain of thought, Pydantic, Pandas, Fast API, Numpy, training pipelines, evaluation techniques, tokenization, model optimization, Azure cloud tools, serverless execution, automation tools, orchestration platforms

Prepare for this role

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