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Portea Medical logo — Portea Medical Machine Learning Engineer Intern in Bengaluru, Karnataka
Portea Medical VerifiedActively Hiring

Machine Learning Engineer Intern

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Location

Bengaluru, Karnataka

Work Mode

In Office

Duration

3 months

Stipend

₹20,000/mo

Start Date

Immediate / Rolling

Openings

9 positions

Type

Full-time

Category

Machine Learning

Apply Now — ₹20,000/moApply on Company Website ↗

About the Internship

Start your career in applied machine learning with Portea Medical as a Machine Learning Engineer Intern in Bengaluru. You will sit with a working team, use the same tools and systems they do, and own a defined piece of work from day one. About the role As a Machine Learning Engineer Intern at…

About Portea Medical

Portea Medical offers a mentor-led Machine Learning Engineer Intern in Bengaluru with live project work in machine learning, a stipend of ₹20,000/month and a Pre-Placement Offer opportunity for strong performers.
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Bengaluru, KarnatakaVerified employer9 openings
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Skills Required

PythonScikit-LearnTensorFlow or PyTorchFeature EngineeringModel Evaluation MetricsPandas & NumPySQLModel DeploymentCross-ValidationGit & GitHub

Who Can Apply

  • Final-year students and recent graduates from B.E./B.Tech (CSE/IT/ECE/AI-ML), BCA, MCA, M.Sc (CS / Statistics) or M.Tech who are based in or willing to work from Bengaluru. You should be keen to learn Python, Scikit-Learn, TensorFlow or PyTorch 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

Pre-Placement Offer (PPO) opportunityFlexible working hoursNetworking with senior professionalsInternship CertificateLetter of Recommendation

Interview & Selection Process

2 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Discussion with the hiring manager on the role and your fit
20,000/month

Stipend · 3 months

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Openings9 positions
Applicants0 applied
ModeIn Office
CategoryMachine Learning
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