Staff Machine Learning Engineer (Platform) - Australia based - Full Relocation Provided
Tasks
- Build ML infrastructure and tooling
- Create data pipelines and training data warehouses
- Define ML platform strategy and technical roadmap
- Define interfaces between training evaluation and serving
- Design distributed training systems
- Develop scalable model serving architecture
- Ensure model deployment and operational reliability
- Establish data quality frameworks
- Implement experiment management and monitoring
- Manage GPU infrastructure performance and bottlenecks
Perks/Benefits
- Competitive salary
- ESOP
- Flexible work environment
- Office events
- Relocation assistance
- Visa sponsorship
Skills/Tech-stack
AWS | Azure | CUDA | CUDA kernels | Data Pipelines | Data Quality | Data Warehousing | Distributed Training | Docker | Experiment tracking | GCP | Kubernetes | MLOps | Machine Learning | Model Deployment | Model Monitoring | Model Serving | PyTorch | Python | Scalability | Software Engineering | System design
Education
N/A
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