Senior ML Engineer
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About the role
EkaCare operates a connected healthcare platform and develops medical AI models used by doctors and patients. You will build data pipelines, train and evaluate large models, and improve their inference systems.
What you'll do
- Build corpus pipelines for filtering, deduplication, PII redaction and tokenization
- Run distributed model training on multi-node GPU clusters
- Build evaluation and experiment tooling for researchers
- Develop fast inference paths for model iterations
- Improve instrumentation, failure recovery and automation across systems
Skills
Must have
- Machine learning training
- Model fine-tuning
- Distributed computing
- Data engineering
- Distributed training
Nice to have
- CUDA
- Open-source contributions
- Healthcare data
- Indic-language data
Tools
- Slurm
- Kubernetes
- Nccl
- Spark
- Ray
- Vllm
- Triton
Who it's for
- Experience
- 3 to 6 years
- Domain
- healthtech
About Eka Care
Eka Care has 19 open roles in Bangalore, at Eka Care, Windmills of your mind (EPIP). See every Eka Care role.
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