Embedded Data Scientist, Chanakya

The role

Embedded Data Scientists transform complex client data into structures for AI systems to reason over. You will be deployed alongside Strategic Deployment Engineers at client sites to understand, structure, and operationalise large-scale datasets.

What you will do

• Understand the client's data landscape across documents, imagery, audio, geospatial data, and structured records
• Design domain ontologies representing entities, relationships, hierarchies, and operational concepts
• Define document segmentation and chunking strategies
• Work with heterogeneous datasets and define how different modalities should be indexed, embedded, and linked
• Collaborate with Strategic Deployment Engineers to translate semantic structures into operational data ingestion pipelines
• Evaluate how well the AI system retrieves and reasons over client data
• Collaborate with the models and other teams to define benchmarks and evaluation criteria
• Translate insights from client data environments into structured signals for product and engineering teams

Required qualifications

• 2–5 years in data science, applied machine learning, or large-scale data analysis roles
• Strong Python skills including pandas, NumPy, and modern NLP or LLM tooling
• Solid grounding in ML fundamentals
• Experience working with large unstructured datasets including documents, transcripts, reports, or operational records
• Familiarity with LLM-based systems, retrieval pipelines, or vector search systems
• Experience designing or working with data schemas, metadata frameworks, entity models, or semantic data structures

Nice to have

• Familiarity with knowledge graphs, ontologies, or semantic data modelling
• Experience with multimodal datasets (text, imagery, audio, geospatial, or structured data)
• Experience operating in constrained or air-gapped environments

About the company

Sarvam is building the bedrock of Sovereign AI for India by developing a full-stack sovereign AI platform. The company works with leading enterprises and public institutions and is backed by Lightspeed, Peak XV, and Khosla Ventures.