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Reinforcement Learning Intern

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Location

Nagpur, Maharashtra

Work Mode

In Office

Duration

6 months

Stipend

₹26,000/mo

Start Date

Immediate / Rolling

Openings

9 positions

Type

Full-time

Category

Machine Learning

Apply Now — ₹26,000/moApply on Company Website ↗

About the Internship

Start your career in reinforcement learning with Smallcase as a Reinforcement Learning Intern in Nagpur. 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 Reinforcement Learning Intern at Smallcase, your core…

About Smallcase

Smallcase offers a mentor-led Reinforcement Learning Intern in Nagpur with live project work in machine learning, a stipend of ₹26,000/month and a Pre-Placement Offer opportunity for strong performers.
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Nagpur, MaharashtraVerified employer9 openings
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Skills Required

Reinforcement LearningReward DesignPythonPyTorchOpenAI GymPolicy GradientsSimulationExperiment TrackingMathematicsEvaluation

Who Can Apply

  • Final-year students and recent graduates from B.E./B.Tech (CSE/IT/ECE), MCA or M.Sc (Computer Science / Mathematics / Statistics) who are based in or willing to work from Nagpur. You should be keen to learn Reinforcement Learning, Reward Design, 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

Letter of RecommendationMentorship from a named mentorLive project experienceExposure to professional tools and workflowsPre-Placement Offer (PPO) opportunityDirect access to the team that owns the data you work on

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
26,000/month

Stipend · 6 months

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Openings9 positions
Applicants0 applied
ModeIn Office
CategoryMachine Learning
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