AI Intern
Hytech
SingaporeInternship3 Aug 2026
About this internship
About the company
Hytech is a leading management consulting firm headquartered in Australia and Singapore, specializing in digital transformation for fintech and financial services companies. We provide comprehensive consulting solutions, as well as middle- and back-office support, to empower our clients with streamlined operations and cutting-edge strategies.
With a global team of over 2,000 professionals, Hytech has established a strong presence worldwide, with offices in Australia, Singapore, Malaysia, Taiwan, Philippines, Thailand, Morocco, Cyprus, and more.
Responsibilities
Support the research, development, and evaluation of machine learning models in areas such as NLP, computer vision, recommendation systems, or LLM-based applications.
Collaborate on identifying product use cases and translating business requirements into AI-driven solutions.
Collect, clean, and preprocess datasets for AI model training, testing, and product validation.
Assist in implementing, testing, and optimizing models using frameworks such as PyTorch, TensorFlow, scikit-learn, or LLM-related tools (e.g., LangChain).
Participate in building data pipelines and supporting model deployment or experimentation processes.
Conduct market research, competitor analysis, and literature reviews to identify AI application opportunities.
Support documentation, product requirement discussions, and internal presentations to communicate AI insights and model performance.
Work cross-functionally with engineering, product, and business teams to translate AI capabilities into practical product improvements.
Qualifications
Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related field.
Strong programming skills in Python; experience with machine learning frameworks (PyTorch, TensorFlow, Keras, scikit-learn) or LLM tools (LangChain, OpenAI APIs) is a plus.
Solid understanding of data structures, algorithms, probability, and statistics.
Familiarity with deep learning, LLMs (e.g., GPT, BERT), AI agents, or applied AI product design is advantageous.
Interest in AI product thinking, user experience, and translating technical capabilities into user value.
Strong analytical skills, structured thinking, and effective communication abilities.
Curious, proactive, and passionate about building intelligent systems that create real-world impact.