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PharmEasy logo — PharmEasy Deep Learning Intern in Kalyani, West Bengal
PharmEasy VerifiedActively Hiring

Deep Learning Intern

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Location

Kalyani, West Bengal

Work Mode

In Office

Duration

3 months

Stipend

₹24,000/mo

Start Date

Immediate / Rolling

Openings

7 positions

Type

Full-time

Category

Machine Learning

Apply Now — ₹24,000/moApply on Company Website ↗

About the Internship

PharmEasy is hiring a Deep Learning Intern in Kalyani — a hands-on, mentor-led internship built for students and 2026 freshers who want real exposure to deep learning rather than a certificate-only programme. About the role As a Deep Learning Intern at PharmEasy, your core focus will be building…

About PharmEasy

PharmEasy offers a mentor-led Deep Learning Intern in Kalyani with live project work in machine learning, a stipend of ₹24,000/month and a Pre-Placement Offer opportunity for strong performers.
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Kalyani, West BengalVerified employer7 openings
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Skills Required

PythonPyTorchTensorFlowNeural NetworksCNNs & RNNsBackpropagationGPU TrainingRegularisationModel EvaluationGit

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 Kalyani. You should be keen to learn Python, 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

Internship CertificateLetter of RecommendationMentorship from a named mentorLive project experienceExposure to professional tools and workflowsDirect access to the team that owns the data you work on

Interview & Selection Process

3 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Online aptitude / domain assessment
  3. 3HR discussion — stipend, start date, expectations and offer
24,000/month

Stipend · 3 months

Apply Now →
Openings7 positions
Applicants0 applied
ModeIn Office
CategoryMachine Learning
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