Sr. Machine Learning Engineer
United States and Canada, CA, USA
USD 200K-260K Senior-level Full Time
Tasks
- Build high-performance inference pipelines
- Build model serving for synchronous REST and asynchronous batch processing
- Build telemetry and monitoring for production metrics
- Containerize inference systems for cloud and on prem deployment
- Deploy inference on cloud platforms
- Design production ML inference systems
- Ensure regulatory compliance with monitoring logging and auditing
- Evaluate and maintain inference frameworks
- Optimize inference latency and throughput
- Profile and optimize deep neural networks on NVIDIA GPUs
- Prototype and productionize inference optimization techniques
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Apache Airflow | Asynchronous processing | Azure | CI/CD | CUDA | Computer Vision | Diffusion Models | Distributed inference | Docker | Docker Swarm | Dynamic batching | ELK Stack | GAN | GCP | GPU Programming | Generative Models | Git | Grafana | Inference Server | Kernel Fusion | Knowledge Distillation | Kubeflow | Kubernetes | MLflow | Memory Optimization | Mixed Precision | Model Parallelism | Model versioning | NVIDIA Nsight | ONNX Runtime | OpenCV | Pillow | Prometheus | Pruning | PyTorch | PyTorch Profiler | Python | Quantization | REST APIs | Scikit-image | TensorRT | Torchserve | Triton Inference | Triton Inference Server | Unit Testing | Vision Transformers
Education
N/A
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