Posted 11h ago
MLOps and Model Deployment Intern
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What this role pays, in context
This listing pays 9% above the median for Data Scientist roles in India, which sits at ₹23K a month.
25th pct ₹20.3K75th pct ₹27.3K
Median of 11 other live Data Scientist listings in India on this board that state pay. Roles that do not disclose a salary are excluded rather than counted as zero.
By the end of six months
You will have taken three models that currently live in notebooks and put them behind a versioned, monitored serving stack that any engineer here can deploy without first finding a data scientist.
The stack and the work
The models are scikit-learn and PyTorch artefacts for job ranking, spam detection and salary estimation. You containerise them, wire up an experiment tracker so training runs stop getting lost, and build the retraining job that pulls fresh labelled data every week. Drift monitoring is yours too: you decide which input distributions are worth alerting on and set thresholds you can defend. Somewhere around month four you will break production, roll it back, and write the postmortem, which is a normal part of learning this properly.
Fit
This suits a final year student or recent graduate who enjoys plumbing as much as modelling. You need Python, comfort on a Linux shell, and enough Docker to be dangerous. You will pair with a senior platform engineer in the Hyderabad office two days a week and work remotely the rest, over a full six months. Nobody will hand you a sandbox copy of the system.
Responsibilities
- Containerise three existing scikit-learn and PyTorch models behind a versioned serving API
- Set up experiment tracking so training runs stop disappearing between people
- Build a weekly retraining job that pulls freshly labelled data
- Define drift monitors and alert thresholds you can justify
- Write runbooks and a rollback path for each deployed model
- Run a blameless postmortem when something breaks
- Automate the CI checks that block a bad model from shipping
Requirements
- Final year student or recent graduate, zero years of professional experience expected
- Python plus comfort working in a Linux shell
- Some Docker exposure from a course, hackathon or personal project
- Understanding of what a model artefact is and why versioning it matters
- Able to be in the Hyderabad office two days a week across six months
Skills
Benefits
- Monthly stipend plus a one time home setup allowance
- Weekly pairing time with a senior platform engineer
- Real production access rather than a sandbox copy
- Certificate, reference letter and a strong shot at a graduate role