About SHL 

SHL Recruitment

Job Role: Research Intern, AI

Qualification: Bachelors / Masters Degree

Experience: Fresher 

Batch: 2026 / 2025 / 2024 / 2023

Salary: up to ₹3.2 LPA

Job Location: Gurgaon 

Last Date: ASAP

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About the role

Are you an AI enthusiast with visionary thinking to conceptualize AI-based products? We are seeking a Research Intern, AI who will work alongside SHL’s AI team on cutting-edge AI/ML challenges in natural language processing (NLP), audio/speech processing, and computer vision. This internship offers hands-on experience with advanced AI research and product development, with the potential for conversion to a full-time Research Engineer, AI role based on performance

An excellent benefits package is offered in a culture where career development, with ongoing manager guidance, collaboration, flexibility, diversity, and inclusivity are all intrinsic to our culture.  There is a huge investment in SHL currently so there’s no better time to become a part of something transformational.

What you will be doing:

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.

What we are looking for from you:

Essential:

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.

Desirable:

Experience in NLP, computer vision, or speech processing.
Knowledge of Generative AI models, LLMs, and advanced deep learning techniques.
Knowledge of statistical modelling, mathematical optimization, and ML fairness principles.