MyInternships.in
Home/Internships/Machine Learning/Machine Learning Intern
LeapMile Logistics (QikPod) logo — LeapMile Logistics (QikPod) Machine Learning Intern in Bengaluru, Karnataka, India
LeapMile Logistics (QikPod) VerifiedActively Hiring

Machine Learning Intern

Apply Now

Location

Bengaluru, Karnataka, India

Work Mode

Hybrid

Duration

3 months

Stipend

₹0/mo

Start Date

Immediate / Rolling

Openings

2 positions

Type

Full-time

Category

Machine Learning

Apply Now — ₹0/mo

About the Internship

Join LeapMile Logistics (QikPod) 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 LeapMile Logistics (QikPod)

About LeapMile Logistics (QikPod) LeapMile Logistics, operating under the QikPod brand, is a Bengaluru-based logistics technology company building next-generation smart logistics and warehouse automation solutions. Founded in 2015 by Ravi Gururaj, the company set out to reimagine the last mile of…
See all LeapMile Logistics (QikPod)internships →
Bengaluru, Karnataka, IndiaVerified employer2 openings
Apply to LeapMile Logistics (QikPod)

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 LeapMile Logistics (QikPod) 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

Apply Now →
Openings2 positions
Applicants0 applied
ModeHybrid
CategoryMachine Learning
Back to All Internships

Sponsored — Deals for Professionals

Sponsored
Apply Now — ₹0/mo