AI Inference Engineer QVAC
Tasks
- Adapt inference engines for performance and compatibility
- Collaborate to transition models to production
- Define core abstractions for scalable inference
- Deploy machine learning models to edge devices
- Design inference layer for edge devices
- Integrate AI features into existing products
- Maintain robust efficient scalable inference systems
- Optimize inference runtime for memory latency throughput
Perks/Benefits
Skills/Tech-stack
C++ | Deep learning | Diffusion Models | Edge Computing | Ggml | JavaScript | Language Models | Large Language Models | Latency optimization | Llama.cpp | Memory Optimization | Model Deployment | ONNX | Performance optimization | Throughput Optimization | Transformers
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | AI Inference Engineer | Edge AI Engineer | Engineer | Inference Engineer
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