SHL has announced openings for the role of Research Intern, AI at its Gurgaon office in India. This full-time internship is designed for individuals who are interested in applied AI research and want to work on real-world problems involving machine learning, natural language processing, speech and audio analysis, and computer vision.
The internship provides hands-on exposure to advanced AI/ML technologies and offers an opportunity to collaborate with experienced researchers and engineers. Based on performance and business requirements, there may also be potential consideration for conversion into a full-time Research Engineer, AI role.
About SHL
SHL is a global leader in people science and workforce analytics, with over 40 years of experience in helping organizations understand, develop, and manage talent. The company combines science, technology, and data-driven insights to deliver solutions that support better hiring, development, and workforce decisions.
SHL operates at the intersection of psychology, data science, and artificial intelligence. Its products and services are used by organizations worldwide to assess skills, potential, and performance at scale. The company emphasizes innovation, responsible AI practices, and evidence-based decision-making.
SHL’s work culture is built around collaboration, inclusivity, flexibility, and continuous learning. The organization invests significantly in technology and research, making it an environment where interns can learn industry-relevant skills while contributing meaningfully to ongoing projects.
Internship Role Overview
The Research Intern, AI role is part of SHL’s AI research and development team. Interns work closely with experienced professionals on cutting-edge AI and machine learning challenges, with a strong focus on both research and practical application.
This role is suitable for candidates who have a foundation in AI/ML concepts and want to deepen their understanding by working on production-oriented research projects rather than purely academic exercises.
The internship is full-time and requires availability for 3 to 6 months, depending on project requirements.
Key Responsibilities
Interns selected for this role will contribute to a wide range of AI-related tasks. Typical responsibilities include:
- Working on advanced AI and machine learning models across domains such as natural language processing (NLP), speech and audio processing, and computer vision
- Prototyping and experimenting with generative AI models, including large language models (LLMs), retrieval-augmented generation (RAG), and multimodal AI systems
- Assisting in the development, optimization, and evaluation of AI/ML solutions designed for real-world applications
- Implementing orchestration frameworks and performance monitoring tools to support scalable AI systems
- Collaborating with team members to integrate machine learning models into production environments
- Supporting data collection, annotation, and validation processes to improve model quality and reliability
- Contributing to internal documentation and, where applicable, research papers related to AI/ML advancements
- Communicating technical findings clearly through reports, presentations, or discussions with stakeholders
These responsibilities help interns gain exposure to the full lifecycle of AI research and deployment.
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Who Can Apply
To be eligible for the Research Intern, AI role, candidates should meet the following essential requirements:
- Availability to work full-time for the next 3–6 months
- Strong coding skills, with a preference for Python
- Prior experience with AI/ML projects through academic coursework, internships, or independent research
- Familiarity with machine learning frameworks such as TensorFlow or PyTorch
Candidates from computer science, artificial intelligence, data science, or related technical backgrounds are generally well-aligned with the role.
Desirable Skills
While not mandatory, the following skills and knowledge areas are considered beneficial:
- Experience or academic exposure to NLP, computer vision, or speech processing
- Understanding of generative AI models, large language models, and advanced deep learning techniques
- Knowledge of statistical modeling, mathematical optimization, or model evaluation techniques
- Awareness of machine learning fairness, bias, and ethical AI principles
These skills may help candidates contribute more effectively to research-driven projects at SHL.
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Work Culture and Benefits
SHL offers a professional environment that supports learning and career development. Interns work in a culture that values:
- Ongoing guidance from managers and mentors
- Team collaboration and knowledge sharing
- Flexibility and inclusivity
- Long-term career development opportunities
The company is currently investing heavily in innovation and technology, making this a relevant time for candidates interested in AI-driven roles to gain experience within SHL.
How to Apply
Interested candidates should prepare a resume highlighting:
- AI/ML coursework or certifications
- Relevant projects in machine learning, NLP, vision, or generative AI
- Programming experience, particularly in Python
- Any prior research, internships, or hands-on AI work
Applications can be submitted by clicking the apply button below and following the instructions provided. Shortlisted candidates may be evaluated based on technical knowledge, problem-solving ability, and alignment with the internship’s objectives.
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