Location
Hyderabad, Telangana
Work Mode
In Office
Duration
2 months
Stipend
₹19,000/mo
Start Date
Immediate / Rolling
Openings
13 positions
Type
Full-time
Category
Machine Learning
About the Internship
Start your career in machine learning on the shop floor with MG Motor India as a Machine Learning Intern (Manufacturing & Quality) in Hyderabad. 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 Machine…
About MG Motor India
MG Motor India offers a mentor-led Machine Learning Intern (Manufacturing & Quality) in Hyderabad with live project work in machine learning, a stipend of ₹19,000/month and a Pre-Placement Offer opportunity for strong performers.
See all MG Motor Indiainternships →Hyderabad, TelanganaVerified employer13 openings
Apply to MG Motor India →Skills Required
PythonTime-Series & Sensor DataAnomaly DetectionPredictive MaintenanceScikit-LearnStatistical Process ControlFeature EngineeringData VisualisationMES / SCADA DataDomain Collaboration
Who Can Apply
- Final-year students and recent graduates from B.E./B.Tech (Mechanical / Electrical / Production / CSE), M.Tech or M.Sc who are based in or willing to work from Hyderabad. You should be keen to learn Python, Time-Series & Sensor Data, Anomaly Detection 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 Recommendation
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
₹19,000/month
Stipend · 2 months
Openings13 positions
Applicants0 applied
ModeIn Office
CategoryMachine Learning
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