Brandshark

Machine Learning Intern

InternshipIn OfficeBengaluru, Karnataka, India3 months2 openingsImmediate / Rolling

About this internship

Join Brandshark 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 practitioners who ship…

Skills you'll use

PythonMachine LearningDeep LearningTensorFlowPyTorchScikit-learnNumPyPandasModel EvaluationMLOps BasicsSQLProblem Solving

What you'll do

Prepare datasets and engineer features for supervised and unsupervised models
Train, tune and benchmark models for accuracy, latency and robustness
Research and prototype new modelling approaches from recent literature
Collaborate with engineers to package and deploy models to production
Run experiments, track metrics and document methodology
Document work clearly and act on feedback

Who can apply

Pursuing or recently completed a degree in CS/IT/Statistics/Maths/Data Science or related
Foundational knowledge of Python, Machine Learning, Deep Learning, TensorFlow
Strong analytical thinking, communication and a proactive attitude
Ability to work in a team and meet deadlines
Based in or open to working from Bengaluru

Perks & benefits

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 Brandshark 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.

About Brandshark

About Brandshark Brandshark is a Bengaluru-based branding, digital-marketing and web-development studio (a Google Partner) whose team of brand strategists, designers and developers builds meaningful, differentiated and authentic brands for companies big and small — from startups to…

Visit Brandshark’s official website ↗

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