Location
Kolhapur, Maharashtra
Work Mode
In Office
Duration
0 months
Stipend
₹57,000/mo
Start Date
Immediate / as per notice period
Openings
1 positions
Type
Full-time
Category
Machine Learning
About the Internship
Utkarsh Small Finance Bank is hiring a Machine Learning Engineer in Kolhapur. This is a full-time, permanent role with real ownership from the first quarter — you will be given work that ships, reviewed by people who know the craft, and the context to understand why it matters.
About the role
This…
About Utkarsh Small Finance Bank
Utkarsh Small Finance Bank is hiring a Machine Learning Engineer in Kolhapur — a full-time full-time position working in Python, PyTorch or TensorFlow and a serving stack, with an indicative CTC of 4.5 LPA–9.1 LPA and 1 opening.
See all Utkarsh Small Finance Bankinternships →Kolhapur, MaharashtraVerified employer1 opening
Apply to Utkarsh Small Finance Bank →Skills Required
PythonScikit-learnPyTorch or TensorFlowFeature EngineeringModel EvaluationSQLModel DeploymentExperiment TrackingStatisticsGit
Who Can Apply
- B.E./B.Tech, BCA/MCA, B.Sc/M.Sc (Statistics / Mathematics) or MBA (Analytics) graduates with 0–2 years of relevant experience, based in Kolhapur or willing to relocate. You should be comfortable with Python, Scikit-learn, PyTorch or TensorFlow, Candidates from any recognised university are welcome, and career-changers with demonstrable skills are read on the same terms as fresh graduates. Freshers and final-year students awaiting results are welcome to apply — the selection process is designed to test how you think, not how much you have already memorised.
Perks
Internal 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 teamsFixed monthly salary, paid on timeStructured onboarding with a named mentor for the first 90 daysHealth insurance cover for you (and family cover on confirmation)
Interview & Selection Process
4 rounds — typical selection flow for this role:
- 1Resume screening and profile shortlisting by the talent acquisition team
- 2Application screening (CV and, where relevant, a portfolio or code sample)
- 3Short introductory call with the recruiter about your background and interest
- 4HR discussion — compensation, notice period, joining date and offer roll-out
₹57,000/month
Stipend · 0 months
Openings1 positions
Applicants0 applied
ModeIn Office
CategoryMachine Learning
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