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CloudSEK logo — CloudSEK MLOps Intern in Bengaluru, Karnataka, India
CloudSEK VerifiedActively Hiring

MLOps Intern

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Location

Bengaluru, Karnataka, India

Work Mode

Hybrid

Duration

3 months

Stipend

₹0/mo

Start Date

Immediate / Rolling

Openings

1 positions

Type

Full-time

Category

Machine Learning

Apply Now — ₹0/mo

About the Internship

CloudSEK 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 monitoring of ML…

About CloudSEK

About CloudSEK CloudSEK is a Bengaluru-headquartered, AI-powered predictive cybersecurity and digital-risk company founded in 2015 by Rahul Sasi. What began as a research-driven initiative has grown into one of the industry's trusted contextual threat-intelligence platforms, using artificial…
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Bengaluru, Karnataka, IndiaVerified employer1 opening
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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:

  1. 1The selection process for the MLOps Intern at CloudSEK 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

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Openings1 positions
Applicants0 applied
ModeHybrid
CategoryMachine Learning
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