Summary As the leading delivery company in the region we have a great responsibility and opportunity to impact the lives of millions of customers, restaurant partners, and riders. To realize our potential we need to scale and evolve our machine learning capabilities across the company. This requires robust, efficient, and scalable ML platforms that empower teams to build, deploy, and operate intelligent systems with speed and reliability.
Responsibilities - Design, build, and maintain scalable, reusable, and reliable machine learning platforms and tooling to support the full ML lifecycle: data ingestion, training, evaluation, deployment, and monitoring.
- Collaborate with ML practitioners to understand their workflows and abstract them into flexible platform components and services.
- Automate and streamline ML model training pipelines, model versioning, artifact management, and deployment workflows using modern MLOps practices.
- Integra...