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Indifi logo — Indifi Machine Learning Engineer Intern in Ongole, Andhra Pradesh
Indifi VerifiedActively Hiring

Machine Learning Engineer Intern

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Location

Ongole, Andhra Pradesh

Work Mode

In Office

Duration

3 months

Stipend

₹43,000/mo

Start Date

Immediate / Rolling

Openings

2 positions

Type

Full-time

Category

Machine Learning

Apply Now — ₹43,000/moApply on Company Website ↗

About the Internship

Indifi has an open Machine Learning Engineer Intern position in Ongole for motivated freshers and final-year students. You will work on live applied machine learning and model deployment projects and finish with something you can genuinely talk about in interviews. About the role As a Machine…

About Indifi

Indifi offers a mentor-led Machine Learning Engineer Intern in Ongole with live project work in machine learning, a stipend of ₹43,000/month and a Pre-Placement Offer opportunity for strong performers.
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Ongole, Andhra PradeshVerified employer2 openings
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Skills Required

PythonTensorFlowScikit-LearnModel Deployment (MLOps)Feature EngineeringPandas & NumPyModel Evaluation MetricsDockerREST / gRPC Model ServingExperiment Tracking (MLflow)

Who Can Apply

  • Final-year students and recent graduates from B.E./B.Tech (CSE/IT/ECE), BCA, MCA, M.Sc (CS / Statistics) or M.Tech who are based in or willing to work from Ongole. You should be keen to learn Python, TensorFlow, Scikit-Learn on real projects and able to write clearly. Freshers are welcome — no prior work experience is required, and a strong project portfolio matters more than a long CV.

Perks

Live project experienceExposure to professional tools and workflowsPre-Placement Offer (PPO) opportunityFlexible working hoursNetworking with senior professionals

Interview & Selection Process

3 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Team-fit / behavioural interview with the team
  3. 3HR discussion — stipend, start date, expectations and offer
43,000/month

Stipend · 3 months

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Openings2 positions
Applicants0 applied
ModeIn Office
CategoryMachine Learning
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