Location
Hisar, Haryana
Work Mode
Hybrid
Duration
2 months
Stipend
₹31,000/mo
Start Date
Immediate / Rolling
Openings
1 positions
Type
Full-time
Category
Machine Learning
About the Internship
National Stock Exchange of India is hiring a Machine Learning Engineer Intern in Hisar — a hands-on, mentor-led internship built for students and 2026 freshers who want real exposure to applied machine learning and model deployment rather than a certificate-only programme.
About the role
As a…
About National Stock Exchange of India
National Stock Exchange of India offers a mentor-led Machine Learning Engineer Intern in Hisar with live project work in machine learning, a stipend of ₹31,000/month and a Pre-Placement Offer opportunity for strong performers.
See all National Stock Exchange of Indiainternships →Hisar, HaryanaVerified employer1 opening
Apply to National Stock Exchange of India →Skills Required
PythonTensorFlowScikit-LearnModel Deployment (MLOps)Feature EngineeringPandas & NumPyModel Evaluation MetricsDockerREST / gRPC Model ServingExperiment Tracking (MLflow)
Who Can Apply
- Final-year students and recent graduates from B.E./B.Tech (CSE/IT/ECE), BCA, MCA, M.Sc (CS / Statistics) or M.Tech who are based in or willing to work from Hisar. You should be keen to learn Python, TensorFlow, Scikit-Learn 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 workflows
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
₹31,000/month
Stipend · 2 months
Openings1 positions
Applicants2 applied
ModeHybrid
CategoryMachine Learning
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