MLOps Intern

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Location

Bengaluru, Karnataka, India

Work Mode

Hybrid

Duration

3 months

Stipend

₹0/mo

Start Date

Immediate / Rolling

Openings

3 positions

Type

Full-time

About the Internship

Ola (ANI Technologies) has an exciting opening for a MLOps Intern in Bengaluru, ideal for freshers and final-year students eager to learn by doing. Over the internship you will focus on automating the training, deployment and monitoring of ML models, collaborate with cross-functional teams, and…

About Ola (ANI Technologies)

About Ola (ANI Technologies) Ola, operated by ANI Technologies Pvt Ltd, is one of India's largest ride-hailing and mobility platforms offering cabs, autos and bike taxis. The company is headquartered in Bengaluru, Karnataka. It serves millions of riders and driver-partners across more than 100…

Bengaluru, Karnataka, IndiaVerified employer3 openings

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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:

1The selection process for the MLOps Intern at Ola (ANI 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

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Openings3 positions

Applicants0 applied

ModeHybrid

CategoryMachine Learning

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