MyInternships.in
Home/Internships/Machine Learning/Machine Learning Engineer
Scaler logo — Scaler Machine Learning Engineer in Guwahati, Assam
Scaler VerifiedActively Hiring

Machine Learning Engineer

Apply Now

Location

Guwahati, Assam

Work Mode

In Office

Duration

0 months

Stipend

₹60,000/mo

Start Date

Immediate / as per notice period

Openings

5 positions

Type

Full-time

Category

Machine Learning

Apply Now — ₹60,000/moApply on Company Website ↗

About the Internship

Applications are open for the Machine Learning Engineer position at Scaler in Guwahati. You will join a working team in applied machine learning, take a defined area end to end, and see the result of your work in the hands of real users or customers. About the role In this role you will be…

About Scaler

Scaler is hiring a Machine Learning Engineer in Guwahati — a full-time full-time position working in Python, PyTorch or TensorFlow and a serving stack, with an indicative CTC of 4.8 LPA–9.6 LPA and 5 openings.
Guwahati, AssamVerified employer5 openings
Apply to Scaler

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 Guwahati 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

Team 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)Learning and certification budgetPaid leave, casual leave and public holidaysFlexible working hours around core collaboration time

Interview & Selection Process

4 rounds — typical selection flow for this role:

  1. 1Resume screening and profile shortlisting by the talent acquisition team
  2. 2Final discussion covering role expectations, compensation and start date
  3. 3Application screening (CV and, where relevant, a portfolio or code sample)
  4. 4HR discussion — compensation, notice period, joining date and offer roll-out
60,000/month

Stipend · 0 months

Apply Now →
Openings5 positions
Applicants0 applied
ModeIn Office
CategoryMachine Learning
Back to All Internships

Sponsored — Deals for Professionals

Sponsored
Apply Now — ₹60,000/mo