Manager-Data Science

About the role

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 .

What you'll do

• Build GenAI applications using Python for tasks like summarization, chatbots and intelligent automation
• 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

What you need

• 4–7 yrs of experience
• Machine learning
• Python
• LLMs
• AWS
• Snowflake
• Any graduate

Good to have

• Prompt engineering
• Azure