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Open nowPosted 58 days ago

ML Engineer, LLM Training (evals)

Eka.care26 open roles

Where
Bengaluru
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Your applicationOpen nowML Engineer, LLM Training (evals)Eka.care · Bengaluru

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The clock on this job

Early applications get read.

11.5% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: posted 58 days ago

The posting

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
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