You will build the platform underneath the models: streaming pipelines, feature stores and reproducible training loops engineered so data scientists ship weekly rather than quarterly.
Applied AI
Machine Learning Engineer
Build feature stores, streaming pipelines and training loops for teams shipping models weekly.
- Remote
- Full time
- 3+ years
- ₹45L – ₹70L
What you will do
- Build streaming data pipelines and feature stores
- Engineer reproducible training and deployment loops
- Instrument model performance in production
- Mentor client data teams
What we look for
- 3+ years in ML engineering or data platform work
- Strong Python and SQL; PyTorch in production
- Experience with streaming systems and orchestration
- MLOps practice: versioning, testing, observability
What we offer
- Senior-only teams and no ticket queues
- Four studios, seventeen countries
- Annual research budget and conference support
- Private healthcare and generous parental leave
Tell us why this role
A short, specific note beats a long generic one. We read every application ourselves.