{"id":40236,"url":"https://alion.io/job/sarvam-ai-ml-ops-engineer-chanakya","title":"ML Ops Engineer, 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":39,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":91,"computed_at":"2026-10-19T05:45:15Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","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":21000,"max_usd":50000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":25},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"ArgoCD","optional":false},{"name":"AWQ","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"Fine-tuning","optional":false},{"name":"GGUF","optional":false},{"name":"GitHub Actions","optional":false},{"name":"GPTQ","optional":false},{"name":"Grafana","optional":false},{"name":"K3s","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"Prometheus","optional":false},{"name":"Python","optional":false},{"name":"TGI","optional":false},{"name":"Triton Inference Server","optional":false},{"name":"vLLM","optional":false}],"status":"live","first_seen_at":"2026-04-17T20:08:16Z","employer_posted_date":"2026-04-17","last_verified_at":"2026-10-19T15:43:07Z","board_verified":true,"closed_at":null,"days_open":184,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":184},"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\nThe MLOps Engineer owns the model lifecycle across all defence and strategic sector deployments - from serving infrastructure and monitoring to evaluation pipelines and environment management. You ensure the system is always on, always accurate, and always auditable.\nYou will work across both layers: supporting Strategic Deployment Engineers in the field, and owning the model deployment infrastructure for new products being built by the product engineering team. The standards here are uncompromising - a model failure is not a UX problem, it is an operational risk.\nWhat You'll Do\nDesign and operate model serving infrastructure across on-prem and cloud deployments\nBuild and maintain CI/CD pipelines for model updates, rollbacks, and evaluation-gated deployments\nMonitor model performance in production - latency, accuracy drift, throughput, failure modes - and build systems that surface issues before clients do\nBuild evaluation infrastructure: harnesses, A/B testing, and model comparison tooling for field and lab use\nManage containerised model serving in constrained, air-gapped, and edge environments\nCollaborate with Data Scientists on eval pipelines; own the infrastructure layer underneath\nCreate runbooks and operational playbooks that Strategic Deployment Engineers can use in the field\nOwn incident response for model-layer failures across all active deployments\nWhat We're Looking For\n3-5 years in ML engineering or MLOps with at least one production LLM or ML system in continuous operation\nDeep expertise in model serving: vLLM, TGI, Triton Inference Server, or equivalent; experience with quantised model formats (GGUF, AWQ, GPTQ)\nExperience fine-tuning and adapting models in constrained, on-prem, or air-gapped environments, including managing data pipelines and compute limitations specific to the environment\nContainerisation experience with Docker, Kubernetes, or lightweight alternatives (K3s, K0s) for constrained and edge environments; familiarity with deploying across heterogeneous hardware and infrastructure configurations\nMonitoring and observability using Prometheus, Grafana, or equivalent; ability to build custom eval dashboards\nPython fluency; familiarity with fine-tuning workflows and model evaluation frameworks\nHands-on experience with CI/CD tooling for ML pipelines: GitHub Actions, ArgoCD, DVC, or similar\nSignals We Look For\nYou've kept a production ML system running under load - and debugged it when it broke\nYou don't wait for things to fail; you build systems that tell you when they're about to\nYou write documentation that actually gets used, by people who aren't you\nWho You Are\nYou treat uptime and correctness as equally non-negotiable\nYou understand that operational reliability is a form of trust-building\nYou're as comfortable optimising inference throughput as you are writing a field runbook for a deployment engineer\nYou take ownership of model and stack health across every active deployment - not just the ones you set up\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":4120,"description_truncated":false,"requirements":{"experience_years_min":3,"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":"2026-04-17T20:08:16Z"}],"visa":[],"liveness":{"score":18,"band":"cold","label":"Long shot","p_open":1,"p_active":0.629,"p_room":0.28,"age_days":184,"expected_fill_days":91,"reasons":["conf:2","velocity","win:tail","crowd:"],"computed_at":"2026-10-19T05:45:15Z"},"pay":null,"html_url":"https://alion.io/job/sarvam-ai-ml-ops-engineer-chanakya","json_url":"https://alion.io/job/sarvam-ai-ml-ops-engineer-chanakya.json","meta":{"generated_at":"2026-10-19T16:28:36Z","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":12482,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-20T00:00:00Z"}},"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-ml-ops-engineer-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-ml-ops-engineer-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-ml-ops-engineer-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-ml-ops-engineer-chanakya\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fsarvam-ai-ml-ops-engineer-chanakya"}]}