BrowserStack

Machine Learning Engineer

Job · Full-timeWork from HomeSiliguri, West Bengal0–2 years58K/mo4 openingsImmediate / as per notice period

About this role

Start your career in applied machine learning at BrowserStack as a Machine Learning Engineer in Siliguri. This is a full-time position with a structured first ninety days, a named mentor, and genuine responsibility once you are through it. About the role As a Machine Learning Engineer at…

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Skills you'll use

PythonScikit-learnPyTorch or TensorFlowFeature EngineeringModel EvaluationSQLModel DeploymentExperiment TrackingStatisticsGit

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 Siliguri, West Bengal or willing to relocate (remote candidates across India may also apply)

Perks & benefits

Paid leave, casual leave and public holidaysFlexible working hours around core collaboration timeModern hardware and the tool licences your role needsInternal knowledge sessions and access to senior reviewersClear, written progression criteria rather than an annual surpriseEmployee referral and performance bonus schemesTeam offsites and regular in-person timeSupport for internal mobility across teams

Interview & selection process

4 rounds — typical selection flow for this role:

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

About BrowserStack

BrowserStack operates in the technology sector and runs an active team in Siliguri. It is a working employer with real customers and real deadlines — the role advertised here exists because there is work that needs doing, not to fill a headcount plan. Industry and what the company…

Visit BrowserStack’s official website ↗

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