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HPE (Hewlett Packard Enterprise) logo — HPE (Hewlett Packard Enterprise) NLP (Natural Language Processing) Intern in Bengaluru, Karnataka, India
HPE (Hewlett Packard Enterprise) VerifiedActively Hiring

NLP (Natural Language Processing) Intern

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Location

Bengaluru, Karnataka, India

Work Mode

Hybrid

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

HPE (Hewlett Packard Enterprise) has an exciting opening for a NLP (Natural Language Processing) Intern in Bengaluru, ideal for freshers and final-year students eager to learn by doing. Over the internship you will focus on building models that understand and generate human language, collaborate…

About HPE (Hewlett Packard Enterprise)

About HPE (Hewlett Packard Enterprise) Hewlett Packard Enterprise (HPE) is a global edge-to-cloud technology company that helps organisations capture, analyse, and act on data across hybrid IT environments. HPE provides a broad portfolio spanning servers and compute, intelligent storage…
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Bengaluru, Karnataka, IndiaVerified employer3 openings
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Skills Required

PythonNLPMachine LearningTransformersHugging FacespaCyPyTorchText PreprocessingLLMsNamed Entity RecognitionSentiment AnalysisCommunication

Perks

Internship CertificateLetter of RecommendationMentorshipReal-World Data Project ExperiencePre-Placement Offer (PPO) OpportunityFlexible HoursPaid Stipend

Interview & Selection Process

3 rounds — typical selection flow for this role:

  1. 1The selection process for the NLP (Natural Language Processing) Intern at HPE (Hewlett Packard Enterprise) is structured, merit-based and typically involves 3 evaluation rounds followed by an HR discussion (about 4 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, NLP, Machine Learning and problem-solving Round 4: 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
ModeHybrid
CategoryMachine Learning
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