Deep Learning Intern

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Location

Bengaluru, Karnataka, India

Work Mode

In Office

Duration

3 months

Stipend

₹0/mo

Start Date

Immediate / Rolling

Openings

4 positions

Type

Full-time

About the Internship

Kickstart your data career at Ola (ANI Technologies) in Bengaluru as a Deep Learning Intern. This is a practical, project-based internship where you will be training and optimising deep neural networks under the mentorship of senior data scientists and engineers, gaining exposure to real business…

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 employer4 openings

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Skills Required

PythonDeep LearningPyTorchTensorFlowNeural NetworksCNNsRNNs / TransformersGPU ComputingNumPyModel OptimizationResearchMathematics

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 Deep 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 deep learning concepts Round 3: Technical Interview 1 — core data-science fundamentals: statistics, Python, Deep Learning, PyTorch 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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Openings4 positions

Applicants1 applied

ModeIn Office

CategoryDeep Learning

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