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PharmEasy logo — PharmEasy Reinforcement Learning Intern in Indore, Madhya Pradesh
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Reinforcement Learning Intern

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Location

Indore, Madhya Pradesh

Work Mode

Work from Home

Duration

4 months

Stipend

₹15,000/mo

Start Date

Immediate / Rolling

Openings

14 positions

Type

Full-time

Category

Machine Learning

Apply Now — ₹15,000/moApply on Company Website ↗

About the Internship

Start your career in reinforcement learning with PharmEasy as a Reinforcement Learning Intern in Indore. 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 PharmEasy, your core…

About PharmEasy

PharmEasy offers a mentor-led Reinforcement Learning Intern in Indore with live project work in machine learning, a stipend of ₹15,000/month and a Pre-Placement Offer opportunity for strong performers.
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Indore, Madhya PradeshVerified employer14 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 Indore. 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

Pre-Placement Offer (PPO) opportunityFlexible working hoursNetworking with senior professionalsInternship CertificateLetter of RecommendationDirect 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. 2Online aptitude / domain assessment
15,000/month

Stipend · 4 months

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Openings14 positions
Applicants0 applied
ModeWork from Home
CategoryMachine Learning
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