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Vedika Credit Capital logo — Vedika Credit Capital Machine Learning Engineer Intern in Pune, Maharashtra
Vedika Credit Capital VerifiedActively Hiring

Machine Learning Engineer Intern

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Location

Pune, Maharashtra

Work Mode

In Office

Duration

2 months

Stipend

₹38,000/mo

Start Date

Immediate / Rolling

Openings

4 positions

Type

Full-time

Category

Machine Learning

Apply Now — ₹38,000/moApply on Company Website ↗

About the Internship

Start your career in applied machine learning and model deployment with Vedika Credit Capital as a Machine Learning Engineer Intern in Pune. 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…

About Vedika Credit Capital

Vedika Credit Capital offers a mentor-led Machine Learning Engineer Intern in Pune with live project work in machine learning, a stipend of ₹38,000/month and a Pre-Placement Offer opportunity for strong performers.
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Pune, MaharashtraVerified employer4 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 Pune. 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

Letter of RecommendationMentorship from a named mentorLive project experienceExposure to professional tools and workflowsPre-Placement Offer (PPO) opportunity

Interview & Selection Process

2 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Online aptitude / domain assessment
38,000/month

Stipend · 2 months

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Openings4 positions
Applicants14 applied
ModeIn Office
CategoryMachine Learning
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