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Eka.care

Senior ML Engineer

Bengaluru, India

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hirly's read of this role

Role family
Data & ML
Seniority
Senior
Country
IN
Work mode
On-site / unstated
First seen by hirly
23 Sept 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

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
Original posting on Eka.care's site ↗

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