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Decathlon Innovation logo — Decathlon Innovation Reinforcement Learning Intern in Bilaspur, Chhattisgarh
Decathlon Innovation VerifiedActively Hiring

Reinforcement Learning Intern

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Location

Bilaspur, Chhattisgarh

Work Mode

Hybrid

Duration

3 months

Stipend

₹24,000/mo

Start Date

Immediate / Rolling

Openings

10 positions

Type

Full-time

Category

Artificial Intelligence

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About the Internship

Join Decathlon Innovation in Bilaspur as a Reinforcement Learning Intern. This entry-level internship is designed for students and recent graduates who learn best by building, shipping and getting real feedback on deep learning work. About the role As a Reinforcement Learning Intern at Decathlon…

About Decathlon Innovation

Decathlon Innovation offers a mentor-led Reinforcement Learning Intern in Bilaspur with live project work in artificial intelligence, a stipend of ₹24,000/month and a Pre-Placement Offer opportunity for strong performers.
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Bilaspur, ChhattisgarhVerified employer10 openings
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Skills Required

Deep LearningPyTorchTensorFlowPythonNeural NetworksModel TrainingHyperparameter TuningGPU BasicsModel EvaluationExperiment Tracking

Who Can Apply

  • Final-year students and recent graduates from B.E./B.Tech (CSE/IT/ECE), BCA/MCA or B.Sc/M.Sc (Computer Science / IT) who are based in or willing to work from Bilaspur. You should be keen to learn Deep Learning, PyTorch, TensorFlow 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 mentorDirect access to the team that owns the data you work on

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
24,000/month

Stipend · 3 months

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Openings10 positions
Applicants0 applied
ModeHybrid
CategoryArtificial Intelligence
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