4 Yrs relevant experience _Gen AI + Python + AI/ML + AWS+GCP_ _- 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._ Gen AI + Python + AI/ML + Azure - 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. Cognizant is an equal chance employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

📌 Manager-Data Science (Chennai)
🏢 Cognizant
📍 Chennai