Location
Tezpur, Assam
Work Mode
In Office
Duration
6 months
Stipend
₹25,000/mo
Start Date
Immediate / Rolling
Openings
8 positions
Type
Full-time
Category
Machine Learning
About the Internship
Join Samco Securities in Tezpur 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 reinforcement learning work.
About the role
As a Reinforcement Learning Intern at Samco…
About Samco Securities
Samco Securities offers a mentor-led Reinforcement Learning Intern in Tezpur with live project work in machine learning, a stipend of ₹25,000/month and a Pre-Placement Offer opportunity for strong performers.
See all Samco Securitiesinternships →Tezpur, AssamVerified employer8 openings
Apply to Samco Securities →Skills Required
PythonReinforcement LearningOpenAI GymPyTorchPolicy GradientsQ-LearningReward DesignSimulationMathematics for MLGit
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 Tezpur. You should be keen to learn Python, Reinforcement Learning, OpenAI Gym 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
Mentorship from a named mentorLive project experienceExposure to professional tools and workflowsPre-Placement Offer (PPO) opportunityFlexible working hoursBroad ownership and direct exposure to founders and senior decision-makers
Interview & Selection Process
4 rounds — typical selection flow for this role:
- 1Application screening & resume shortlisting by the talent team
- 2Practical assignment or case study with a short walkthrough
- 3Discussion with the hiring manager on the role and your fit
- 4HR discussion — stipend, start date, expectations and offer
₹25,000/month
Stipend · 6 months
Openings8 positions
Applicants0 applied
ModeIn Office
CategoryMachine Learning
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