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Adobe logo — Adobe NLP Engineer Intern in Hyderabad, Telangana
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NLP Engineer Intern

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Location

Hyderabad, Telangana

Work Mode

Hybrid

Duration

6 months

Stipend

₹36,000/mo

Start Date

Immediate / Rolling

Openings

4 positions

Type

Full-time

Category

Machine Learning

Apply Now — ₹36,000/moApply on Company Website ↗

About the Internship

Join Adobe in Hyderabad as a NLP Engineer Intern. This entry-level internship is designed for students and recent graduates who learn best by building, shipping and getting real feedback on natural language processing work. About the role As a NLP Engineer Intern at Adobe, your core focus will be…

About Adobe

Adobe offers a mentor-led NLP Engineer Intern in Hyderabad with live project work in machine learning, a stipend of ₹36,000/month and a Pre-Placement Offer opportunity for strong performers.
Hyderabad, TelanganaVerified employer4 openings
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Skills Required

Natural Language Processing (NLP)Hugging Face TransformersPythonText Preprocessing & TokenisationNamed Entity RecognitionText ClassificationspaCy / NLTKEmbeddingsModel Evaluation (F1)Multilingual Text

Who Can Apply

  • Final-year students and recent graduates from B.E./B.Tech (CSE/IT/AI-ML), MCA, M.Sc (CS / Linguistics) or M.Tech who are based in or willing to work from Hyderabad. You should be keen to learn Natural Language Processing (NLP), Hugging Face Transformers, Python on real projects and able to write clearly. Freshers are welcome — no prior work experience is required, and a strong project portfolio matters more than a long CV.

Perks

Flexible working hoursNetworking with senior professionalsInternship CertificateLetter of RecommendationMentorship from a named mentor

Interview & Selection Process

4 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Online aptitude / domain assessment
  3. 3Technical interview on fundamentals and your projects
  4. 4HR discussion — stipend, start date, expectations and offer
36,000/month

Stipend · 6 months

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Openings4 positions
Applicants0 applied
ModeHybrid
CategoryMachine Learning
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