Location
Bengaluru, Karnataka, India
Work Mode
Hybrid
Duration
3 months
Stipend
₹0/mo
Start Date
Immediate / Rolling
Openings
2 positions
Type
Full-time
Category
Machine Learning
About the Internship
Join Navi Technologies in Bengaluru as a MLOps Intern and take a meaningful first step into the world of data science. This structured, guided internship lets you spend your time automating the training, deployment and monitoring of ML models, learning directly from practitioners who ship data and…
About Navi Technologies
About Navi Technologies
Navi Technologies is a Bengaluru-based financial-services company founded in 2018 by Sachin Bansal and Ankit Agarwal, after Bansal's earlier co-founding of Flipkart. Navi set out to build a fully digital, technology-first financial-services company that offers simple…
See all Navi Technologiesinternships →Bengaluru, Karnataka, IndiaVerified employer2 openings
Apply to Navi 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 Navi 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
Openings2 positions
Applicants0 applied
ModeHybrid
CategoryMachine Learning
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