SHL is hiring for Research Intern – AI [Rs.50K/month]

About the Role
SHL is looking for an enthusiastic and driven Research Intern – AI to join our AI team and work on state-of-the-art problems in natural language processing (NLP), computer vision, and speech processing. This role offers you hands-on experience in developing innovative AI solutions and the opportunity to collaborate with a high-performing global research team. Exceptional performers may be offered a full-time position as a Research Engineer – AI.

Key Responsibilities

• Develop and prototype advanced AI/ML models in NLP, speech, and vision using deep learning techniques
• Explore and implement generative AI models including LLMs, RAG, and multimodal AI
• Build and optimize AI/ML solutions tailored to real-world applications
• Work on model orchestration, monitoring, and performance tuning
• Contribute to building scalable machine learning models and pipelines
• Assist in data collection, annotation, and validation to improve model accuracy
• Participate in writing research documentation and contributing to whitepapers

Who Should Apply

• Available to work full-time for a duration of 3 to 6 months
• Strong programming skills in Python
• Hands-on experience with AI/ML through internships, academic projects, or research
• Familiarity with TensorFlow and PyTorch is essential
• Bonus if you have exposure to NLP, computer vision, speech processing, or generative AI models
• A passion for research, innovation, and continuous learning in the AI/ML space

Why Join SHL?

• Be part of a visionary team driving the future of work through science and AI
• Work in a diverse, flexible, and inclusive environment
• Benefit from career guidance, mentorship, and continuous development
• Enjoy a competitive employee benefits package and a supportive workplace culture

Technical Skills Required: Python, TensorFlow, PyTorch, Natural Language Processing (NLP), Computer Vision, Speech Processing, Generative AI, LLMs, Deep Learning, Machine Learning, Data Annotation, Model Optimization, Statistical Modelling, Mathematical Optimization, ML Fairness Principles