Role & 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. (OR) Deploy models using Azure Machine Learning and Azure OpenAI scale with Azure Functions and Cognitive Services.

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

Preferred Skills

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

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

📌 Walk-in || Artificial Intelligence Developer (Chennai)
🏢 Cognizant
📍 Chennai