https://shl.com

Research AI Intern SHL - Hiring 2025

Posted on:December 23, 2025


Explore the latest SHL jobs 2025 and find exciting career opportunities. SHL is currently hiring for Internship professionals. This vacancy is entitled as a Bangalore jobs, offcampus jobs in SHL, and also explore all other Research AI Intern SHL - Hiring 2025 listings. Don't miss this chance to kickstart your career with SHL today. All eligible candidates are advised to apply for this job as soon as possible. For more information kindly go through the below details.

AboutSHL

Research AI Intern SHL - Hiring 2025

In 1977, SHL begins reinventing human capital management. and continue to lead the market with powerhouse product launches, ground-breaking science, and business transformation.

With our platform of pre-configured talent acquisition and talent management solutions, maximize the potential of your company’s greatest asset—your people.We unlock the possibilities of businesses through the power of people, science and technology.

When you inspire and transform people’s lives, you will experience the greatest business outcomes possible. SHL’s products insights, experiences, and services can help achieve growth at scale.

Job Details

Job Details Table
CompanySHL
PositionResearch AI Intern
LocationBangalore
Job TypeFull Time
ExperienceInternship
Websitehttps://shl.com

Qualifications

  • Must be available to work full-time for the next 3-6 months.
  • Strong coding ability, preferably in Python.
  • Experience with AI/ML projects through internships, research, or academic coursework.
  • Familiarity with frameworks such as TensorFlow and PyTorch.

Responsibilities

  • Work on advanced AI/ML models in NLP, speech, and vision using deep learning.
  • Prototype generative AI models like LLMs, RAG, and multimodal AI.
  • Assist in developing and optimizing AI/ML solutions for real-world applications.
  • Implement orchestration frameworks and performance monitoring tools.
  • Collaborate on scalable ML models and their integration into production.
  • Contribute to data collection, annotation, and validation for better models.
  • Contribute to research papers and documentation with AI/ML advancements

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