{"id":40243,"url":"https://alion.io/job/sarvam-ai-embedded-data-scientist-chanakya","title":"Embedded Data Scientist, Chanakya","company":{"id":229,"name":"Sarvam AI","domain":"sarvam.ai","url":"https://alion.io/company/sarvam-ai","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":95,"open_postings":37,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":91,"computed_at":"2026-11-01T06:10:25Z"}},"role":"Data Science","role_family":"Data Science","seniority":"junior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Delhi, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":12500,"max_usd":29000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":12},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Knowledge Graph","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multimodal AI","optional":false},{"name":"NLP","optional":false},{"name":"NumPy","optional":false},{"name":"Python","optional":false}],"status":"live","first_seen_at":"2026-04-17T11:59:15Z","employer_posted_date":"2026-04-17","last_verified_at":"2026-11-01T05:42:59Z","board_verified":true,"closed_at":null,"days_open":197,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":197},"description":"About Sarvam\nSarvam is building the bedrock of Sovereign AI for India. The company is developing India's full-stack sovereign AI platform, building across research, models, infrastructure and applications with a singular focus on making AI genuinely work for India. Sarvam works with leading enterprises and public institutions and is backed by Lightspeed, Peak XV, and Khosla Ventures. Sarvam partners with India's leading brands, including Tata Capital, SBI Life, CRED, IDFC, and LIC.\nAbout the Role\nEmbedded Data Scientists transform complex client data into structures that AI systems can reliably reason over. You are deployed alongside Strategic Deployment Engineers at client sites, working directly with client data environments to understand, structure, and operationalise large-scale datasets.\nThis means working with heterogeneous, multimodal data - including documents, images, audio, geospatial data, and structured records - and designing the semantic structures that allow AI systems to interpret and reason over that data.\nYou will define how data is represented inside the AI system: how documents are segmented, how metadata is defined, how entities and relationships are represented, and how different data modalities connect. You will design ontologies, tagging systems, and knowledge graph structures that allow the reasoning engine to operate effectively.\nYou will often work with classified or operationally sensitive datasets in environments where standard tooling may not exist. You will own the quality of the data layer in your assigned accounts, ensuring the system is built on a foundation that enables reliable reasoning at scale.\nWhat You'll Do\nUnderstand the client's data landscape across documents, imagery, audio, geospatial data, and structured records - including data sources, formats, workflows, and domain terminology\nDesign domain ontologies representing entities, relationships, hierarchies, and operational concepts within the client's data environment\nDefine document segmentation and chunking strategies that preserve semantic meaning and support effective retrieval\nWork with heterogeneous datasets and define how different modalities should be indexed, embedded, and linked\nCollaborate with Strategic Deployment Engineers to translate semantic structures into operational data ingestion pipelines\nEvaluate how well the AI system retrieves and reasons over client data, and refine structures to improve performance\nCollaborate with the models and other teams to define benchmarks and evaluation criteria that reflect real-world deployment conditions\nTranslate insights from client data environments into structured signals for product and engineering teams\nWhat We're Looking For\n2-5 years in data science, applied machine learning, or large-scale data analysis roles\nStrong Python skills including pandas, NumPy, and modern NLP or LLM tooling\nSolid grounding in ML fundamentals - enough to understand model behaviour, contribute to evaluation design, and collaborate with a models team on training and benchmarking\nExperience working with large unstructured datasets including documents, transcripts, reports, or operational records\nFamiliarity with LLM-based systems, retrieval pipelines, or vector search systems\nExperience designing or working with data schemas, metadata frameworks, entity models, or semantic data structures\nSignals We Look For\nYou've worked with real-world, messy, unstructured data and built something rigorous from it\nYou are comfortable designing structure where none exists - defining schemas, ontologies, and metadata frameworks from scratch\nYou can translate complex data insights into explanations that engineers and client stakeholders can act on\nWho You Are\nYou are comfortable operating with autonomy in client environments; you don't need a data team around you to do rigorous work\nYou move fluently between domain understanding, data modelling, and AI system design\nYou move between the technical and the operational: you understand what the data means in the context of what operators actually do with it\nBonus Points\nFamiliarity with knowledge graphs, ontologies, or semantic data modelling\nExperience with multimodal datasets (text, imagery, audio, geospatial, or structured data)\nExperience operating in constrained or air-gapped environments\nWhy Sarvam?\nSarvam is a fast-moving, high talent-density team building full-stack AI for India, working on problems that push the frontiers of AI with real population-scale impact.\nWork alongside researchers, engineers, builders, and business leaders who move fast and hold each other to a very high bar\nHigh ownership and high impact, from day one\nEverything we do is AI-first, from the way we build and ship to the way we think about problems\nYou can work on problems that could change how an entire country learns, works, and communicates\nIf you want to work on problems at the frontier of AI in India, Sarvam is the place to be.","description_format":"text","description_chars":4961,"description_truncated":false,"requirements":{"experience_years_min":2,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["LLM & Generative AI","Natural Language Processing","Speech & Audio AI","Foundation Models"],"lifecycle":[{"event":"open","at":"2026-04-17T11:59:15Z"}],"visa":[],"liveness":{"score":16,"band":"cold","label":"Long shot","p_open":1,"p_active":0.563,"p_room":0.28,"age_days":197,"expected_fill_days":91,"reasons":["conf:0","velocity","win:tail","crowd:junior"],"computed_at":"2026-11-01T06:10:25Z"},"pay":null,"html_url":"https://alion.io/job/sarvam-ai-embedded-data-scientist-chanakya","json_url":"https://alion.io/job/sarvam-ai-embedded-data-scientist-chanakya.json","meta":{"generated_at":"2026-11-01T07:52:46Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":12154,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-02T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":229},"rest":"https://alion.io/mcp/rest/get_company?id=229"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fsarvam-ai-embedded-data-scientist-chanakya"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fsarvam-ai-embedded-data-scientist-chanakya"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fsarvam-ai-embedded-data-scientist-chanakya"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/sarvam-ai-embedded-data-scientist-chanakya\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fsarvam-ai-embedded-data-scientist-chanakya"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":40243}},{"tool":"search_jobs","arguments":{"company":"sarvam.ai","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":40243},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); 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