Machine Learning Intern

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Location

Bengaluru, Karnataka, India

Work Mode

Hybrid

Duration

3 months

Stipend

₹0/mo

Start Date

Immediate / Rolling

Openings

2 positions

Type

Full-time

About the Internship

Join Ola (ANI Technologies) in Bengaluru as a Machine Learning Intern and take a meaningful first step into the world of data science. This structured, guided internship lets you spend your time designing, training and evaluating machine-learning models at scale, learning directly from…

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 employer2 openings

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Skills Required

PythonMachine LearningDeep LearningTensorFlowPyTorchScikit-learnNumPyPandasModel EvaluationMLOps BasicsSQLProblem Solving

Perks

Internship CertificateLetter of RecommendationMentorshipReal-World Data Project ExperiencePre-Placement Offer (PPO) OpportunityFlexible HoursPaid Stipend

Interview & Selection Process

4 rounds — typical selection flow for this role:

1The selection process for the Machine Learning Intern at Ola (ANI Technologies) is structured, merit-based and typically involves 4 evaluation rounds followed by an HR discussion (about 5 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, Machine Learning, Deep Learning and problem-solving Round 4: Technical Interview 2 / Case Study — a hands-on data/ML case or take-home task discussion with the team Round 5: 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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Openings2 positions

Applicants1 applied

ModeHybrid

CategoryMachine Learning

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