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Open nowPosted 73 days ago

Senior ML Engineer

Eka.care26 open roles

Where
Bengaluru
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Your applicationOpen nowSenior ML EngineerEka.care · Bengaluru

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The clock on this job

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Share of postings closed within
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  2. 4.4%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: posted 73 days ago

The posting

Senior ML Engineer, LLM Systems

Bengaluru · Full-time · mid-senior (3–6 yrs)

About EkaCare and the mission

EkaCare is India's connected healthcare platform: an EMR that doctors run their practices on, a personal health record used by millions of Indians, and one of the deepest integrations with India's ABDM digital-health rails. Our Parrotlet family of medical models already serves Indian doctors in production, and we open-source our work where it counts.

The role

The versatile builder, you go where the run needs you; data, training, evals, serving, and you leave every system better-instrumented than you found it.

What you'll do

  • Build corpus pipelines that feed GPUs without stalls: filtering, dedup, PII redaction, tokenisation, streaming dataloaders at ~500B-token scale.
  • Run distributed training jobs on multi-node H200 clusters; make failures loud, recoveries fast, dashboards honest.
  • Build the eval and experiment tooling researchers live in.
  • Wire fast inference paths (vLLM-class) for model iterations.
  • Automate whatever annoyed you last week.

What we look for

  • 3–6 years of strong software engineering with real ML training exposure; you've fine-tuned or trained ≥1B-parameter models, not just called APIs.
  • Distributed-computing fundamentals: Slurm or Kubernetes, NCCL basics, storage/throughput intuition.
  • Data engineering at scale; Spark, Ray, or whatever gets the job done.
  • A bias for ownership: you don't ask whose job it is.

Bonus

  • Triton/CUDA curiosity; profiler literacy.
  • Open-source projects or contributions.
  • Healthcare or Indic-language data experience.

Why this is a rare gig

  • Open source, with your name on it: weights and technical reports ship publicly.
  • India-scale mission: models for a billion people in their own languages.
  • Compute that’s rare to fine: dedicated multi-node H200 training under a national grant.
  • Small senior team: you work with the people who own the recipe.
  • A live deployment path: Government institutes, EkaCare's doctors and patients use what you ship.

Full-Time Employee Benefits

  • Medical Insurance & Accidental Insurance
  • Maternity & Paternity Benefits
  • PF, Gratuity, & Leave Encashment
  • Salary Advance Policy
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