Senior ML Engineer
ekacare· Data Science.
About this role
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
Frequently Asked Questions
Is the salary disclosed for the Senior ML Engineer position at ekacare?
The salary for this Senior ML Engineer role at ekacare is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the Senior ML Engineer position at ekacare located?
This Senior ML Engineer role at ekacare is based in Bengaluru, KA, India. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
Is the Senior ML Engineer role at ekacare full-time or part-time?
This is listed as a FULL TIME position. It is posted as a Senior ML Engineer role in the Data Science. department at ekacare.
Which team or department does the Senior ML Engineer at ekacare belong to?
This Senior ML Engineer position is part of the Data Science. department at ekacare. See the full job description for more information about the team structure and responsibilities.
How do I apply for the Senior ML Engineer position at ekacare?
Click the "Apply Now" button on this page. You will be redirected to ekacare's official application portal hosted on keka where you can submit your application directly.
When was the Senior ML Engineer job at ekacare posted?
This Senior ML Engineer position at ekacare was posted on Aug 10, 2026. Apply as soon as possible — early applications are often reviewed first.
Senior ML Engineer
ekacare
You'll be redirected to ekacare's official application page on keka.