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.
