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Production Engineer - Applied Machine Learning Engine (Singapore)
This role focuses on maintaining and optimizing production systems for applied machine learning, including CI/CD pipelines, observability, SLO/SLA frameworks, and incident response to ensure stable AI model training, inference, and storage operations.
Cloud Native Observability Management Platform Engineer - Data Infrastructure
Engineer a cloud-native observability platform, building automated testing frameworks and managing cluster lifecycle for scalable operations.
Machine Learning Engineer Graduate (AML-Engine-Orchestration) - 2027 Start
Graduate-level role focused on building and optimizing machine learning platform orchestration, online model serving, and resource management systems to improve GPU efficiency.
Site Reliability Engineer, Hybrid Cloud Operation and Delivery - Data Infrastructure
Build and maintain high-availability hybrid cloud infrastructure, ensuring stability and reliability through SRE practices and automation.
Site Reliability Engineer, Machine Learning Systems - Singapore
Designs and maintains monitoring, disaster recovery, and resource management tools for large-scale ML systems, ensuring stable training, inference, and offline task execution across global data centers and cloud environments.
Machine Learning Engineer Intern (AML-Engine-Orchestration) - 2027 Start
Develops Kubernetes-based orchestration tools for Bytedance’s AI/ML platforms, focusing on multi-tenant resource management, GPU efficiency, and scalable model deployment.
Machine Learning Engineer Graduate (AML-Engine-Orchestration) - 2027 Start
Build ML orchestration and Kubernetes operators to manage model serving lifecycles, optimize GPU resources, and handle multi-cluster traffic routing.
Senior Production Engineer - Applied Machine Learning
Manage production systems for ML training, operate Kubernetes GPU clusters, and build CI/CD pipelines while ensuring reliability, disaster recovery, and observability.