The Role
Build and extend LLM evaluation harnesses, benchmark sweeps, dashboards, regression tracking, data-quality tooling, and training-run monitoring. Develop internal tools that improve research productivity while gaining experience in pretraining and post-training workflows. The role emphasizes strong Python coding, debugging, machine learning fundamentals, experimentation, and rapid learning, with opportunities to contribute to open-source medical models serving Indian-language healthcare use cases.
Summary Generated by Built In
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
Skills Required
- 1–3 years of experience or a fresh graduate
- Excellent Python coding skills
- Strong debugging ability
- Defensible machine learning fundamentals
- Evidence of independently building projects, tools, repositories, or competition work
- Open-source contributions
- Kaggle or competitive programming experience
- Coursework or projects in NLP or LLMs
- Interest in Indic languages
Am I A Good Fit?
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.
Success! Refresh the page to see how your skills align with this role.
The Company
What We Do
A digitally enabled and connected healthcare ecosystem for better health management. - Manage Your Health Records - Monitor Your Health Vitals - Easy To Use - Private And Secured - Govt. of India Approved #prioritizehealth
