Location
Bengaluru, Karnataka, India
Work Mode
In Office
Duration
3 months
Stipend
₹0/mo
Start Date
Immediate / Rolling
Openings
1 positions
Type
Full-time
Category
Machine Learning
About the Internship
Codehood Technologies is inviting applications for a MLOps Intern based in Bengaluru, one of India's leading data-science and technology hubs. This is a hands-on, mentor-led internship built for students and freshers who want real, practical experience automating the training, deployment and…
About Codehood Technologies
About Codehood Technologies
CodeHood, operating as Codehood Technologies, is a Bangalore-based education-technology company built around the idea of teaching engineering students the industry skills that actually matter in modern technology careers. Its public positioning centres on practical…
See all Codehood Technologiesinternships →Bengaluru, Karnataka, IndiaVerified employer1 opening
Apply to Codehood Technologies →Skills Required
PythonDockerMLflowCI/CDKubernetes BasicsCloud (AWS/GCP)Model DeploymentMonitoringGitAirflowBashProblem Solving
Perks
Internship CertificateLetter of RecommendationMentorshipReal-World Data Project ExperiencePre-Placement Offer (PPO) OpportunityFlexible HoursPaid Stipend
Interview & Selection Process
3 rounds — typical selection flow for this role:
- 1The selection process for the MLOps Intern at Codehood Technologies is structured, merit-based and typically involves 3 evaluation rounds followed by an HR discussion (about 4 stages in total): Round 1: Online Application & Resume Screening — apply through the verified link on this page; profiles are shortlisted on fundamentals and fit Round 2: Online Assessment / Aptitude — a test covering statistics, SQL, Python and basic machine learning concepts Round 3: Technical Interview 1 — core data-science fundamentals: statistics, Python, Docker, MLflow and problem-solving Round 4: HR Discussion — role expectations, stipend, start date and offer The process is designed to assess your fundamentals, problem-solving ability and communication rather than rote knowledge. There are no charges at any stage. Shortlisted candidates are contacted through the official careers channel after they apply via the link on this page.
₹0/month
Stipend · 3 months
Openings1 positions
Applicants0 applied
ModeIn Office
CategoryMachine Learning
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