Lead-Data Insight & Automation

Cognizant; Hyderabad; On-site; INR 1,000,000 - 1,400,000; Full time

Job summary

Cognizant is seeking an experienced Python developer to build GenAI applications for summarization, chatbots, and intelligent automation. You will fine-tune LLMs and traditional ML models for classification, prediction, and decision support, designing solutions with embeddings, vector search, and RAG.

You'll deploy models using cloud services such as AWS and Azure, integrate them with APIs and enterprise data platforms, and collaborate across teams to embed AI/ML into business workflows and

Qualifications

• Strong Python development with GenAI frameworks like LangChain, Hugging Face, OpenAI.
• Solid grounding in ML algorithms, training pipelines 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.

Responsibilities

• 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).
• 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.

Skills

Python

GenAI frameworks

LangChain

Hugging Face

OpenAI

ML algorithms

Prompt engineering

Tokenization

Model optimization

APIs integration

Azure cloud tools

Serverless deployment

Tools

AWS SageMaker

AWS Lambda

Azure Machine Learning

Azure OpenAI

Azure Functions

Snowflake

Job description

Experience : 4Yrs - 10 Yrs

Responsibilities

• 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

• Strong 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.

Responsibilities

• 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.