Responsibilities
- Build, train, and optimise machine learning models using structured and unstructured datasets.
- Collaborate with cross-functional teams to translate business problems into technical solutions.
- Deliver actionable insights by transforming complex outputs into clear recommendations.
- Maintain and improve AI products to ensure scalability, reliability, and performance.
- Continuously explore new ML libraries, frameworks, and tools to enhance delivery speed and quality.
Requirements
- Strong programming skills in Python, SQL, and proficiency with ML libraries (TensorFlow, PyTorch, Scikit-learn).
- Solid experience in data wrangling, feature engineering, and statistical analysis.
- Familiarity with cloud-based ML environments (Azure, GCP, Databricks).
- Knowledge of Large Language Models (LLMs) is a plus.
- Excellent problem-solving skills and attention to detail.
- Ability to work collaboratively in fast-paced, project-driven environments.
If you're interested in this role, please send your latest resume to [protected-email-address] or contact Cheryl Ng at [protected-phone-number].