Location
Chhatrapati Sambhajinagar, Maharashtra
Work Mode
In Office
Duration
2 months
Stipend
₹23,000/mo
Start Date
Immediate / Rolling
Openings
1 positions
Type
Full-time
Category
Machine Learning
About the Internship
Start your career in ML platform and operations with Indifi Technologies as a MLOps Engineer Intern in Chhatrapati Sambhajinagar. 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 MLOps Engineer Intern at…
About Indifi Technologies
Indifi Technologies offers a mentor-led MLOps Engineer Intern in Chhatrapati Sambhajinagar with live project work in machine learning, a stipend of ₹23,000/month and a Pre-Placement Offer opportunity for strong performers.
See all Indifi Technologiesinternships →Chhatrapati Sambhajinagar, MaharashtraVerified employer1 opening
Apply to Indifi Technologies →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
Letter of RecommendationMentorship from a named mentorLive project experienceExposure to professional tools and workflowsPre-Placement Offer (PPO) opportunity
Interview & Selection Process
4 rounds — typical selection flow for this role:
- 1Application screening & resume shortlisting by the talent team
- 2Online aptitude / domain assessment
- 3Technical interview on fundamentals and your projects
- 4HR discussion — stipend, start date, expectations and offer
₹23,000/month
Stipend · 2 months
Openings1 positions
Applicants0 applied
ModeIn Office
CategoryMachine Learning
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