Data Scientist - Generative AI

Job Summary :

The ideal candidate will possess deep understanding of both classical data science methodologies and cutting-edge GenAI technologies.

You will work on developing and deploying AI solutions using LLMs, RAG, and cloud-based architectures, and contribute to driving innovation in AI-driven business processes.

Key Responsibilities :

- Build and implement AI pipelines using cloud services (AWS/Azure/GCP).

- Work with cross-functional teams to integrate AI models into business applications.

- Manage tokenization strategies, chunking, vector stores, and prompt engineering for optimal GenAI

performance.

- Drive research and experimentation in Knowledge Graphs, Vision APIs, and Responsible AI practices.

- Collaborate with engineering teams for production deployment using Docker, SQL, and versioning tools.

- Ensure GenAI solutions follow best practices around hallucination control and ethical AI.

Must-Have Skills (GenAI) :

- RAG Framework.

- Chunking Strategies.

- LLMs Understanding.

- AI on Cloud Services (AWS, Azure, GCP).

- LangChain.

- Vector Databases.

- Token Management.

- Knowledge Graphs.

- Vision APIs.

- Prompt Engineering.

Good-to-Have Skills :

- Deep Learning.

- Computer Vision.

- Hallucinations Control Methodology.

- Responsible AI Methodology.

Technical Skills (Tech) :

- Docker.

- SQL.

- Versioning Tools (e.g., Git).

- Cloud Platforms AWS / Azure / GCP (at least one is mandatory).