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

Preferred Skills

- Solid 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.

📌 Gen AI Specialist (Pune)
🏢 Credence HR Services
📍 Pune