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Fidelity Investments logo — Fidelity Investments Machine Learning Engineer in Kochi, Kerala
Fidelity Investments VerifiedActively Hiring

Machine Learning Engineer

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Location

Kochi, Kerala

Work Mode

Hybrid

Duration

0 months

Stipend

₹64,000/mo

Start Date

Immediate / as per notice period

Openings

3 positions

Type

Full-time

Category

Machine Learning

Apply Now — ₹64,000/moApply on Company Website ↗

About the Internship

Fidelity Investments has an opening for a Machine Learning Engineer in Kochi. If you would rather learn by owning something small and real than by watching from the sidelines, this full-time applied machine learning role is built that way. About the role In this role you will be training models…

About Fidelity Investments

Fidelity Investments is hiring a Machine Learning Engineer in Kochi — a full-time full-time position working in Python, PyTorch or TensorFlow and a serving stack, with an indicative CTC of 5.1 LPA–10.3 LPA and 3 openings.
Kochi, KeralaVerified employer3 openings
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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 Kochi 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

Health insurance cover for you (and family cover on confirmation)Learning and certification budgetPaid 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 schemes

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
64,000/month

Stipend · 0 months

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Openings3 positions
Applicants0 applied
ModeHybrid
CategoryMachine Learning
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