ML Platform Engineer

We are looking for a Machine Learning Engineer to join our work on diverse data science and AI use cases across ride-hailing, online food, delivery and other business verticals. The role is part of our Data Science team, working closely with sister teams in Data Engineering and Data Analytics / Business Intelligence. The focus is on machine learning implementation and related engineering, with opportunities to cross over into data scientist or analysis work.
We operate in cross-functional project teams where every role has the right and responsibility to take initiative in improving the business outcome.
Responsibilities:
Implementation and deployment of machine learning models, including development of APIs and ML-related backend systems.
Model monitoring and iterative improvements such as retraining pipelines, feature engineering and performance optimization.
Ongoing development of ML platform assets such as feature store, model management, ML ops workflows.
Maintenance and improvement of SLAs and engineering best practices in ML use cases.
Documentation, knowledge sharing and mentoring of junior members.
Requirements:
Bachelor's degree in computer science, software engineering, mathematics or other numerical disciplines. Postgraduate degree preferred.
3+ years of industry experience with machine learning use cases.
Proficiency in big data technology and feature engineering.
Proficiency in implementation and deployment of common machine learning models and infrastructure.
Clear communication, initiative and a strong sense of ownership.
Strong mathematics or data science is an advantage.
Strong software engineering or data engineering is an advantage.
Experience with deep learning, NLP or LLM / VLM is an advantage.