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EK
Ekacare

ML Engineer, LLM Training (evals)

Bengaluru · Entry Level

Older listing - lower visibility likelyVerified listingPosted 40d ago

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97Experience

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What we know about this role

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Skills required

6 listed
Personal Health RecordsEmployee BenefitsLarge Language Models (LLMs)AWS Elastic MapReduce (EMR)Python (Programming Language)Natural Language Processing
Personal Health RecordsEmployee BenefitsLarge Language Models (LLMs)AWS Elastic MapReduce (EMR)Python (Programming Language)

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Job description

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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All open roles at EkacareAll Machine Learning Engineer jobs in Bengaluru

Two ways in

Applicants who checked fit first are 3.1× more likely to hear back

Your match scoreCalculated · locked
86Overall
64Skills
97Experience

Your score for this role already exists

ASAI compared this JD against 41 signals - skills, seniority, domain, stack overlap etc. Add a resume and it unlocks in about 30 seconds.

No credit card · 1 tap with Google

Free · no signup

Get tomorrow's jobs before you have to search

Daily job drops, skill trends and free resources - posted straight to the group. Leave any time.

Join WhatsAppJoin Telegram

No spam. Just jobs and resources.

Why people use ASAI

Someone shared one job with you. ASAI keeps finding the rest.

  • Scored, not searched. Every role ranked against your actual profile.

  • Alerts as often as hourly. Reach new roles while the pile is still small.

  • Skill gaps, spelled out. See exactly which requirements you don't meet yet.

  • Verified jobs, only. Say no to ghost jobs. Your time deserves respect.

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