Location
Chhatrapati Sambhajinagar, Maharashtra
Work Mode
Work from Home
Duration
2 months
Stipend
₹31,000/mo
Start Date
Immediate / Rolling
Openings
1 positions
Type
Full-time
Category
Machine Learning
About the Internship
Central Bank of India has an open MLOps Engineer Intern position in Chhatrapati Sambhajinagar for motivated freshers and final-year students. You will work on live ML platform and operations projects and finish with something you can genuinely talk about in interviews.
About the role
As a MLOps…
About Central Bank of India
Central Bank of India offers a mentor-led MLOps Engineer Intern in Chhatrapati Sambhajinagar with live project work in machine learning, a stipend of ₹31,000/month and a Pre-Placement Offer opportunity for strong performers.
See all Central Bank of Indiainternships →Chhatrapati Sambhajinagar, MaharashtraVerified employer1 opening
Apply to Central Bank of India →Skills Required
KubeflowMLflowCI/CD for AIDocker / KubernetesModel Monitoring & Drift DetectionPythonFeature StoresModel Registry & VersioningCloud ML PlatformsInfrastructure as Code
Who Can Apply
- Final-year students and recent graduates from B.E./B.Tech (CSE/IT), MCA or M.Sc (Computer Science / Data Science) who are based in or willing to work from Chhatrapati Sambhajinagar. You should be keen to learn Kubeflow, MLflow, CI/CD for AI 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
Live project experienceExposure to professional tools and workflowsPre-Placement Offer (PPO) opportunityFlexible working hoursNetworking with senior professionals
Interview & Selection Process
3 rounds — typical selection flow for this role:
- 1Application screening & resume shortlisting by the talent team
- 2Discussion with the hiring manager on the role and your fit
- 3HR discussion — stipend, start date, expectations and offer
₹31,000/month
Stipend · 2 months
Openings1 positions
Applicants0 applied
ModeWork from Home
CategoryMachine Learning
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