Research Intern, AI

SHL's interview process typically begins with an online aptitude and coding test lasting 60‑90 minutes, followed by a technical interview that probes your understanding of AI/ML concepts, recent projects and problem‑solving approach. The final HR round assesses cultural fit, communication skills and internship logistics. Preparation should focus on data structures, deep learning fundamentals and clear articulation of past work.

SHL promotes a collaborative and inclusive work environment where learning is encouraged through regular knowledge‑sharing sessions and mentorship. Employees enjoy a good work‑life balance with flexible timings and opportunities to work on global projects that have tangible business impact.

Final year B.Tech/B.E. or M.Tech in Computer Science, Electronics, Information Technology or related fields; minimum CGPA 6.5/10 (or 70% for percentage system); no active backlogs at the time of joining; must be available for full‑time work for 3‑6 months; strong programming skills in Python; prior exposure to AI/ML projects through internships, research or coursework.

Round 1: Online aptitude & coding test → Round 2: Technical interview (AI/ML concepts, coding, project discussion) → Round 3: HR interview (fit, motivation, availability)

SHL is a global leader in people assessment, analytics and talent development. With over four decades of experience, the company combines psychology, data science and technology to help organisations make smarter hiring and development decisions. Its portfolio includes psychometric tests, AI‑driven talent platforms and consulting services that are used by Fortune‑500 firms, governments and startups alike. The culture at SHL is built around curiosity, collaboration and a strong commitment to diversity, equity and inclusion, making it an attractive destination for fresh talent who want to work on real‑world impact. The Research Intern, AI role is designed for enthusiastic graduates who want to dive deep into cutting‑edge AI/ML research while contributing to product‑ready solutions. Reporting to the AI team, the intern will work on a variety of projects spanning natural language processing, speech/audio analysis and computer vision. The stint lasts 3‑6 months full‑time and offers a clear pathway to a full‑time Research Engineer position based on performance. Key responsibilities: 1. Design, implement and fine‑tune deep learning models for NLP, speech and vision tasks. 2. Prototype generative AI solutions such as large language models, Retrieval‑Augmented Generation (RAG) pipelines and multimodal architectures. 3. Assist in building end‑to‑end AI/ML pipelines, including data ingestion, preprocessing, model training and deployment. 4. Develop orchestration scripts and performance monitoring dashboards to ensure scalability and reliability. 5. Collaborate with product managers and engineers to integrate research prototypes into production services. 6. Contribute to data collection, annotation, and validation efforts to improve model quality. 7. Document experiments, write technical reports and co‑author research papers or internal white‑papers. 8. Stay updated with the latest AI research trends and propose innovative ideas for SHL’s product roadmap. 9. Participate in code reviews, knowledge‑sharing sessions and team brainstorming meetings. 10. Support the AI team in troubleshooting model‑related issues in live environments. Tech stack: Python, PyTorch, TensorFlow, Hugging Face Transformers, Docker, Kubernetes, AWS/GCP, SQL/NoSQL databases, Git, CI/CD tools. Growth path: Successful interns can transition to a Research Engineer role, later moving into senior research, AI product management or specialized domains such as fairness and ethics in AI. SHL invests heavily in employee upskilling through mentorship, certifications and conference sponsorships. Why join SHL? You will work alongside seasoned AI researchers on problems that directly influence how millions of people are assessed and hired worldwide. The internship offers hands‑on exposure to both research and product development, a supportive learning environment, and the possibility of a full‑time offer that accelerates your career in AI.