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 Mumbai, Maharashtra or willing to relocate

Perks & benefits

Interview & selection process

5 rounds — typical selection flow for this role:

1. 1Resume screening and profile shortlisting by the talent acquisition team
2. 2Short introductory call with the recruiter about your background and interest
3. 3Technical or practical round based on the day-to-day work of the role
4. 4Take-home exercise or live problem-solving discussion
5. 5HR discussion — compensation, notice period, joining date and offer roll-out

About NeoGrowth

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