ML Platform Engineer
AI Startup (Series B) · Posted 4 days ago
Location
Bengaluru
Work mode
Hybrid
Type
Full-time
Experience
4 – 7 yrs
Compensation
₹30 – 50 LPA
Posted
4 days ago
A Series-B AI startup is investing heavily in ML infrastructure. You'll be one of the founding ML platform engineers, building the training and inference platform that the entire research team relies on.
Hybrid in Koramangala. High bar, high autonomy, high learning velocity.
Design and operate the training platform (Ray on Kubernetes)
Own feature store, model registry, and lineage tooling
Ship inference infrastructure with hard latency guarantees
Partner closely with research on new model architectures
Set the internal MLOps standard
4+ years in ML engineering / MLOps / platform
Strong Kubernetes production experience
Ray, Kubeflow, or similar distributed-training experience
Feature-store patterns (Feast or equivalent)
Python fluency, comfort with C++ / Rust for hot paths a plus
Contributions to Ray / KubeFlow / MLflow
Experience with LLM training or fine-tuning at scale
GPU cluster operations
Meaningful equity in a well-funded AI company
Direct impact on research productivity
Access to substantial GPU compute for internal projects
Direct recruiter and hiring-manager access — no black-hole applications
Structured, timely feedback after every stage
Honest guidance on compensation, notice period, and market
Onboarding support in the first 30 days after joining
Structured, timely, and short.
- 01
Recruiter screen (30 min)
- 02
Take-home MLOps design (asynchronous)
- 03
Pairing + system design (90 min)
- 04
Team + founder (60 min)
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