Senior Machine Learning Engineer - Research Optimisation
Tasks
- Build and maintain ML inference services
- Create multi variant rollout frameworks
- Develop shared ML libraries and SDKs
- Establish CI CD workflows for ML services
- Implement observability with metrics logging tracing
- Improve distributed training performance
- Integrate Kubernetes storage and data pipelines
- Optimize inference latency and cost
- Productionize research ML models
- Profile and optimize PyTorch training workloads
- Refactor research code into stable interfaces
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | AWS | B testing | Batching | CI/CD | CUDA | Caching | DDP | DeepSpeed | Distributed Training | Docker | FSDP | Feature Flags | Kubernetes | Logging | Machine Learning | Megatron | Metrics | ONNX | PyTorch | Python | Quantization | SLI/SLO | TensorRT | Torch compile | TorchScript | Tracing | Triton
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Regions
Countries
States
Cities
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