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Target (Target in India) logo — Target (Target in India) Machine Learning Intern in Bengaluru, Karnataka, India
Target (Target in India) VerifiedActively Hiring

Machine 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

3 positions

Type

Full-time

Category

Machine Learning

Apply Now — ₹0/mo

About the Internship

Target (Target in India) has an exciting opening for a Machine Learning Intern in Bengaluru, ideal for freshers and final-year students eager to learn by doing. Over the internship you will focus on designing, training and evaluating machine-learning models at scale, collaborate with…

About Target (Target in India)

About Target (Target in India) Target is a major US retailer whose India hub, Target in India, is based in Bengaluru at Manyata Embassy Business Park. The Bengaluru center hosts the bulk of Target's tech, finance, supply chain, and UX teams. Its India jobs portal lists openings ranging from…
Bengaluru, Karnataka, IndiaVerified employer3 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:

  1. 1The selection process for the Machine Learning Intern at Target (Target in India) 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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Openings3 positions
Applicants0 applied
ModeIn Office
CategoryMachine Learning
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