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Social Beat logo — Social Beat Machine Learning Engineer Intern in Prayagraj, Uttar Pradesh
Social Beat VerifiedActively Hiring

Machine Learning Engineer Intern

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Location

Prayagraj, Uttar Pradesh

Work Mode

In Office

Duration

3 months

Stipend

₹30,000/mo

Start Date

Immediate / Rolling

Openings

3 positions

Type

Full-time

Category

Machine Learning

Apply Now — ₹30,000/moApply on Company Website ↗

About the Internship

Social Beat has an open Machine Learning Engineer Intern position in Prayagraj 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…

About Social Beat

Social Beat offers a mentor-led Machine Learning Engineer Intern in Prayagraj with live project work in machine learning, a stipend of ₹30,000/month and a Pre-Placement Offer opportunity for strong performers.
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Prayagraj, Uttar PradeshVerified employer3 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 Prayagraj. 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

2 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Technical interview on fundamentals and your projects
30,000/month

Stipend · 3 months

Apply Now →
Openings3 positions
Applicants0 applied
ModeIn Office
CategoryMachine Learning
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