Kerja Sepenuh Masa Machine Learning Systems Engineer (MLSys), Gaji tinggi SGD 9,000 di HPC AI TECHNOLOGY PTE. LTD. - Maukerja

Responsibilities

• System Development & Maintenance
  Contribute to the development, optimization, and maintenance of core components of the machine learning platform, including feature stores, experiment tracking systems, model registries, workflow orchestration, and serving frameworks
• Training Efficiency Optimization
  Assist in optimizing the performance of distributed training frameworks (e.g., PyTorch DDP, DeepSpeed, FSDP) on large-scale clusters, addressing challenges such as resource scheduling and communication bottlenecks
• Inference Performance Optimization
  Participate in model deployment and serving, including performance profiling and acceleration through model compilation (e.g., TVM, TensorRT), operator optimization, computation graph optimization, and batching strategies
• Infrastructure Support
  Leverage technologies such as containerization (Docker), orchestration (Kubernetes), and monitoring (Prometheus/Grafana) to improve observability, reliability, and resource utilization of ML systems
• Tooling & Developer Productivity
  Build and maintain internal tools to improve engineering efficiency, such as automated evaluation systems, stress testing tools, and debugging utilities

Qualifications

Education

• Bachelor’s degree or above in Computer Science, Software Engineering, Electronic Engineering, or related fields

Fundamental Knowledge

• Solid foundation in computer science fundamentals: operating systems, computer networks, data structures, and algorithms
• Strong programming skills, with proficiency in Python; experience with Go or C++ is a strong plus
• Basic understanding of software engineering principles, including design patterns and clean coding practices

Technical Skills

• Familiarity with Linux development environments, including common commands and shell scripting
• Experience with at least one mainstream deep learning framework (preferably PyTorch), with curiosity about its underlying mechanisms
• Basic hands-on experience with containerization (Docker), CI/CD pipelines, and version control (Git)

Soft Skills

• Strong passion for engineering and building high-performance, highly available systems
• Excellent problem-solving and debugging skills, with a mindset for optimization
• Good communication and teamwork skills, able to collaborate effectively across cross-functional teams
• Strong curiosity and willingness to deeply understand machine learning algorithms and their integration with system engineering

Preferred Qualifications (Nice to Have)

• Familiarity with Kubernetes and cloud-native technologies
• Experience with model serving frameworks such as Triton, TensorFlow Serving, or TorchServe
• Understanding of compiler fundamentals (e.g., LLVM), high-performance computing (HPC), or hardware acceleration (GPU/ASIC)
• Contributions to open-source projects or relevant system/infrastructure projects on GitHub
• Experience with large-scale data processing (e.g., Spark, Flink) or storage systems