ML Engineer, LLM Training (evals)
ekacare· Data Science.
About this role
EkaCare
ML Engineer, LLM Training
Bengaluru · Full-time · Junior (1–3 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
You'll rotate across data, evals and training tooling with direct mentorship from the people running the big runs and grow into a pretraining or post-training specialisation within your first year.
What you'll do
- Run and extend the evaluation harness: benchmark sweeps, dashboards, regression tracking across checkpoints.
- Build data-quality tooling: filters, dedup checks, samplers, "look at the data" utilities everyone thanks you for.
- Monitor training runs and make their logs and metrics legible.
- Build internal tools that make researchers measurably faster.
- Learn relentlessly, paper clubs, ablation reviews, and real responsibility early.
What we look for
- 1–3 years (or even fresh graduate) with excellent coding; Python you're proud of, and the instincts to debug anything.
- ML fundamentals you can defend on a whiteboard, not just import.
- Evidence you build things nobody asked you to: repos, competition results, a tool your classmates used.
- Hunger. This team moves fast, and the learning curve is the point.
Bonus
- Open-source PRs; Kaggle or competitive programming.
- Coursework or projects in NLP/LLMs; interest in Indic languages.
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 ML Engineer, LLM Training (evals) position at ekacare?
The salary for this ML Engineer, LLM Training (evals) 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 ML Engineer, LLM Training (evals) position at ekacare located?
This ML Engineer, LLM Training (evals) 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 ML Engineer, LLM Training (evals) role at ekacare full-time or part-time?
This is listed as a FULL TIME position. It is posted as a ML Engineer, LLM Training (evals) role in the Data Science. department at ekacare.
Which team or department does the ML Engineer, LLM Training (evals) at ekacare belong to?
This ML Engineer, LLM Training (evals) 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 ML Engineer, LLM Training (evals) 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 ML Engineer, LLM Training (evals) job at ekacare posted?
This ML Engineer, LLM Training (evals) position at ekacare was posted on Aug 25, 2026. Apply as soon as possible — early applications are often reviewed first.
ML Engineer, LLM Training (evals)
ekacare
You'll be redirected to ekacare's official application page on keka.