We are seeking a highly analytical and forward-thinking AI Analyst to join our growing Digital Transformation and AI team.

Requirements

Bachelor's or Master's degree in Artificial Intelligence, Machine Learning, Computer Science, Data Science, Business Analytics or a related quantitative discipline with a strong AI focus
3–5 years of experience in AI, data analytics, quantitative research, or digital transformation (fresh graduates with strong technical foundation may also be considered)
Strong proficiency in Python for data processing, model development, and API integration
Knowledge of AI orchestration and MLOps practices, including data pipeline management, model deployment, and workflow automation
Exposure to LLMs and foundation models (prompt design, fine-tuning, API management, or embedded agent systems)
Understanding of advanced analytics techniques—e.g., regression, clustering, forecasting, reinforcement learning, or optimization
Strong analytical and problem-solving mindset with curiosity to learn business processes within the biofuel, energy, or advanced manufacturing sectors, and ability to apply AI solutions to operational challenges
Strong communication skills with the ability to collaborate effectively across technical and business teams
Proficiency in English; Mandarin considered a plus

We are seeking a highly analytical and forward-thinking AI Analyst to join our growing Digital Transformation and AI team.

Bachelor's or Master's degree in Artificial Intelligence, Machine Learning, Computer Science, Data Science, Business Analytics or a related quantitative discipline with a strong AI focus
3–5 years of experience in AI, data analytics, quantitative research, or digital transformation (fresh graduates with strong technical foundation may also be considered)
Strong proficiency in Python for data processing, model development, and API integration
Knowledge of AI orchestration and MLOps practices, including data pipeline management, model deployment, and workflow automation
Exposure to LLMs and foundation models (prompt design, fine-tuning, API management, or embedded agent systems)
Understanding of advanced analytics techniques—e.g., regression, clustering, forecasting, reinforcement learning, or optimization
Strong analytical and problem-solving mindset with curiosity to learn business processes within the biofuel, energy, or advanced manufacturing sectors, and ability to apply AI solutions to operational challenges
Strong communication skills with the ability to collaborate effectively across technical and business teams
Proficiency in English; Mandarin considered a plus

AI Analyst