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Aabhaas logo — Aabhaas Machine Learning Engineer in Vijayawada, Andhra Pradesh
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Machine Learning Engineer

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Location

Vijayawada, Andhra Pradesh

Work Mode

In Office

Duration

0 months

Stipend

₹59,000/mo

Start Date

Immediate / as per notice period

Openings

5 positions

Type

Full-time

Category

Machine Learning

Apply Now — ₹59,000/moApply on Company Website ↗

About the Internship

Aabhaas is recruiting a Machine Learning Engineer for its Vijayawada team. The role suits someone early in their career who wants depth in applied machine learning rather than a rotation through everything at once. About the role As a Machine Learning Engineer at Aabhaas, your core responsibility…

About Aabhaas

Aabhaas is hiring a Machine Learning Engineer in Vijayawada — a full-time full-time position working in Python, PyTorch or TensorFlow and a serving stack, with an indicative CTC of 4.7 LPA–9.4 LPA and 5 openings.
Vijayawada, Andhra PradeshVerified employer5 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 Vijayawada 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

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:

  1. 1Resume screening and profile shortlisting by the talent acquisition team
  2. 2Take-home exercise or live problem-solving discussion
  3. 3Discussion with the hiring manager on how you approach problems and work with others
  4. 4HR discussion — compensation, notice period, joining date and offer roll-out
59,000/month

Stipend · 0 months

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Openings5 positions
Applicants0 applied
ModeIn Office
CategoryMachine Learning
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