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Miko logo — Miko Graph Machine Learning Intern in Dehradun, Uttarakhand
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Graph Machine Learning Intern

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Location

Dehradun, Uttarakhand

Work Mode

Hybrid

Duration

3 months

Stipend

₹31,000/mo

Start Date

Immediate / Rolling

Openings

6 positions

Type

Full-time

Category

Machine Learning

Apply Now — ₹31,000/moApply on Company Website ↗

About the Internship

Join Miko in Dehradun as a Graph Machine Learning Intern. This entry-level internship is designed for students and recent graduates who learn best by building, shipping and getting real feedback on graph machine learning and network analysis work. About the role As a Graph Machine Learning Intern…

About Miko

Miko offers a mentor-led Graph Machine Learning Intern in Dehradun with live project work in machine learning, a stipend of ₹31,000/month and a Pre-Placement Offer opportunity for strong performers.
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Dehradun, UttarakhandVerified employer6 openings
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Skills Required

Graph Neural NetworksNetworkX / PyTorch GeometricPythonGraph Databases (Neo4j)Node & Edge FeaturesLink PredictionCommunity DetectionSQLData ModellingVisualisation

Who Can Apply

  • Final-year students and recent graduates from B.E./B.Tech (CSE/IT), M.Tech, MCA or M.Sc (CS / Mathematics) who are based in or willing to work from Dehradun. You should be keen to learn Graph Neural Networks, NetworkX / PyTorch Geometric, Python 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

Flexible working hoursNetworking with senior professionalsInternship CertificateLetter of RecommendationMentorship from a named mentor

Interview & Selection Process

4 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
  3. 3Team-fit / behavioural interview with the team
  4. 4HR discussion — stipend, start date, expectations and offer
31,000/month

Stipend · 3 months

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Openings6 positions
Applicants0 applied
ModeHybrid
CategoryMachine Learning
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