Location
Bengaluru, Karnataka, India
Work Mode
Hybrid
Duration
3 months
Stipend
₹0/mo
Start Date
Immediate / Rolling
Openings
4 positions
Type
Full-time
Category
Deep Learning
About the Internship
Kickstart your data career at Talview 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 problems, modern…
About Talview
About Talview
Talview is an AI-powered hiring and proctoring technology company that began in 2012 as Interview Master and was reorganised as Talview Inc. in 2017. The company was founded by Sanjoe Tom Jose, who serves as CEO, along with Mani Kandar and other co-founders, several of whom share an…
See all Talviewinternships →Bengaluru, Karnataka, IndiaVerified employer4 openings
Apply to Talview →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 Talview 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
Openings4 positions
Applicants0 applied
ModeHybrid
CategoryDeep Learning
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