Machine Learning Engineer
About this role
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Skills you'll use
What you'll do
- Build, train and evaluate models against a defined metric
- Engineer features and check for leakage before trusting results
- Deploy models and monitor them for drift
- Run experiments and report results without overclaiming
- Work with engineering on serving and latency
- Flag risks and blockers early rather than at the deadline
- Keep your tracker and status honest, including when something has slipped
Who can apply
- B.E./B.Tech, BCA/MCA, B.Sc/M.Sc (Statistics / Mathematics) or MBA (Analytics) from a recognised university
- 0–2 years of relevant experience — internships, academic projects and personal work all count, and 2026 graduates are welcome
- Working knowledge of Python, Scikit-learn, PyTorch or TensorFlow
- Comfort with Python, PyTorch or TensorFlow and a serving stack, and the ability to pick up an unfamiliar tool without waiting to be taught it
- The judgement to know when a problem is yours to solve and when it needs escalating — and to escalate with the relevant detail attached.
- Attention to detail, ownership and the discipline to document your work
- Based in Gurugram, Haryana or willing to relocate
Perks & benefits
Interview & selection process
5 rounds — typical selection flow for this role:
- 1Resume screening and profile shortlisting by the talent acquisition team
- 2Short introductory call with the recruiter about your background and interest
- 3Technical or practical round based on the day-to-day work of the role
- 4Take-home exercise or live problem-solving discussion
- 5HR discussion — compensation, notice period, joining date and offer roll-out
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