Senior Member Technical Staff
Tasks
- Automate ML training evaluation deployment and rollback
- Build production ML services and APIs
- Collaborate with product and platform teams to deliver production ML systems
- Design build and scale ML serving infrastructure
- Improve engineering rigor with testing CI CD observability and incident response
- Monitor inference systems and retrain models
- Optimize inference latency throughput reliability and cost
- Profile and optimize model execution with batching caching and parallelism
Perks/Benefits
Skills/Tech-stack
API Development | AWS | Amazon SageMaker | CI/CD | Computer Vision | Containerization | Debugging | Deep learning | Distributed Systems | Dynamic batching | Embeddings | Inference Server | KV caching | Kubernetes | LLM | Machine Learning | Model Parallelism | Monitoring | Multimodal Retrieval | NVIDIA Triton | NVIDIA Triton Inference | NVIDIA Triton Inference Server | Observability | Prefix caching | PyTorch | Python | Quantization | Retrieval | TensorRT | Testing | Transformers | Triton Inference Server | VLLM | Vision Transformers | XGBoost
Education
N/A
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