Lead-Data Insight & Automation
Cognizant
- 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.
- 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.
- 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.
- 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.