Job Description: You'll directly shape the user experience, platform intelligence, and operational efficiency. You'll build and scale production-grade AI systems serving millions across SEA. You'll collaborate across functions to develop ML tools from scratch You'll grow fast in a flat, fast-moving, and collaborative environment Responsibilities: Partner with product and data teams to define ML strategies and goals Build, train, and deploy models to support personalization, automation, and insights Handle data preprocessing, feature engineering, and model evaluation Develop scalable ML infrastructure and data pipelines Integrate ML outputs into user-facing products and internal tools Stay on top of emerging AI trends and apply them to real-world use cases Support system debugging, optimization, and ongoing improvements You'll Thrive Here If You Take ownership and care about impact, not just output Are curious, hands-on, and eager to learn beyond your current skillset Can work independently and navigate through ambiguity Are adaptable to change and comfortable in a startup environment Enjoy working in a collaborative team with a humble and solution-oriented mindset See problems through to the end, even if it means picking up something new Primary skills: Bachelor's degree in computer science, Data Science, Engineering, or a related field 3-5 years of experience in AI, machine learning, or backend development Strong Python skills with experience in frameworks like TensorFlow, PyTorch, or scikit-learn Familiarity with ML workflows: data cleaning, model development, evaluation, tuning Experience in deploying models or APIs in real-world environments Proficient with tools like Google Colab, Jupyter, or cloud-based ML platforms Strong problem-solving and communication skills Show more Show less