Senior ML Engineer

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