AI Trainer responsible for delivering training on AI and Cloud technologies with flexible scheduling. Engaging participants through webinars and workshops for an international media organization.
About the role
- AI Inference Engineer developing AI model optimizations for Quadric's GPNPU platforms. Porting and benchmarking AI models to enhance performance in edge devices.
Responsibilities
- Quantize, prune and convert models for deployment
- Port models to Quadric platform using Quadric toolchain
- Optimize inference deployment for latency, speed
- Benchmark and profile model performance and accuracy
- Develop tools to scale and speed up the deployment
- Make Improvement to SDK and runtime
- Provide technical support and documents to customers and developer community
Requirements
- Bachelor’s or Master’s in Computer Science and/or Electric Engineering.
- 5+ years of experience in AI/LLM model inference and deployment frameworks/tools
- experience with model quantization (PTQ, QAT) and tools
- experience with model accuracy measures
- experience with model inference performance profiling
- experience with at least one of the following frameworks: onnxruntime, Pytorch, vLLM, huggingface-transformer, neural-compressor, llamacpp
- Proficiency in C/C++ and Python
- Demonstrate good capability in problem solving, debug and communication
Benefits
- Health Care Plan (Medical, Dental & Vision)
- Retirement Plan (401k, IRA)
- Life Insurance (Basic, Voluntary & AD&D)
- Paid Time Off (Vacation, Sick & Public Holidays)
- Family Leave (Maternity, Paternity)
- Short Term & Long Term Disability
- Training & Development
- Work From Home
- Free Food & Snacks
- Stock Option Plan
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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