← All roles

Embedded Data Scientist, Chanakya

Sarvam· Engineering
Apply on company site
DelhiFull-timePosted 3mo ago

About the role

Embedded Data Scientist role focused on transforming heterogeneous client data into structured representations for AI systems. Deploy alongside Strategic Deployment Engineers at client sites, designing ontologies, data schemas, and knowledge graph structures to enable reliable reasoning over large-scale, multimodal datasets in constrained environments.

Responsibilities

  • Understand the client's data landscape across documents, imagery, audio, geospatial data, and structured records — including data sources, formats, workflows, and domain terminology
  • Design domain ontologies representing entities, relationships, hierarchies, and operational concepts within the client's data environment
  • Define document segmentation and chunking strategies that preserve semantic meaning and support effective retrieval
  • 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, and refine structures to improve performance
  • Collaborate with the models and other teams to define benchmarks and evaluation criteria that reflect real-world deployment conditions
  • Translate insights from client data environments into structured signals for product and engineering teams

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 — enough to understand model behaviour, contribute to evaluation design, and collaborate with a models team on training and benchmarking
  • 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

Skills

Required:PythonData schemas / ontologies / semantic data structuresUnstructured data handling

Benefits

  • Not specified in the description
Last updated Aug 4, 2026. Interested? Apply on the company site.
Sarvam logo

About Sarvam

Sarvam | India's Full-Stack Sovereign AI Platform

Sarvam is India's full-stack sovereign AI platform, with speech-to-text, text-to-speech, translation, and conversational agents across 22 Indian languages. Start free.

API PricingAbout UsAksharAryaCareersConversationsDocument DigitisationDocumentation
Company profileWebsite

More open roles at Sarvam