AI Inference Engineer (Edge) (100% Remote Europe)

At reputed company, we're committed to making advanced AI technologies more accessible. reputed company to its investment in AI infrastructure, starting from reputed company Data, reputed company is now in a reputed company position to tackle ambitious AI reputed company. Our goal is to build the reputed company of AI models, leading innovation in AI, through an accessible, transparent and reputed company preserving approach. The role involves building AI solutions across the reputed company from large-reputed company models designed for advanced applications to smaller, highly performant models tailored for efficiency on edge devices such as mobile phones and laptops. Our dynamic team operates entirely remotely, uniting talent from every reputed company of the globe. Our reputed company has been marked by reputed company reputed company and efficient operations, firmly establishing us as reputed company reputed company the industry. Join us in building AI models and solutions that not only compete with but reputed company the capabilities of reputed company leaders, driving both technological advancement and broad... accessibility. What You'll Do: • Work on deploying machine learning models to edge devices using frameworks such as TVM, MLC, and IREE (MLIR). • Collaborate closely with researchers to assist in coding, training and transitioning models from research to production environments. • reputed company AI features into existing products, enriching them with the latest advancements in machine learning. • Excellent programming skills in Python, C and C++. • Experience with platforms such as TVM, MLC, and IREE (MLIR), which facilitate the deployment of models to specific GPU architectures. • Experience in NLP, reputed company, TensorFlow, PyTorch, JAX and CUDA toolkit. • Experience with different aspects of Large Language Models (LLMs), such as fine-tuning techniques to reputed company models to specific tasks and reputed company engineering. • Extensive experience in training models using multi-GPU setups. • Demonstrated ability to rapidly assimilate new technologies and techniques. • A degree in Computer Science, AI, Machine Learning, or a reputed company field, complemented by a solid reputed company record in AI R&D Apply Job!