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