TL;DR

Neural Network Optimization Engineer (AI): Optimize and enhance neural network inference workflows focusing on performance, latency, and throughput improvements. Focus on implementing model quantization, benchmarking on hardware platforms, and collaborating with ML researchers to deploy efficient models in production.

Location: London, UK (onsite)

Company

%hirify_global% is an AI tool company based in London, UK, focused on empowering professional designers, illustrators, and marketers with advanced image generation technologies.

What you will do

Optimize neural network models for inference performance and latency reduction.
Implement model quantization methods such as INT8 and FP8.
Benchmark and improve inference performance on targeted hardware platforms.
Collaborate with ML researchers to deploy optimized models in production.
Stay updated with latest developments in model optimization and inference technologies.

Requirements

Location: Must be able to work onsite in London, UK.
Proven experience optimizing neural network inference workloads.
Strong expertise with TensorRT, Triton language, CUDA programming.
Experience with neural network quantization techniques.
Proficiency in Python and PyTorch.
Deep understanding of GPU architectures and performance optimization.

Culture & Benefits

Competitive salary.
Skilled Worker visa sponsorship available for qualified candidates in the UK.
Opportunities for professional growth and development.
Collaborative and user-focused work environment.
Chance to impact AI-powered creativity and product development.