AI Research Engineer/Scientist (OpenVINO, NNCF)

Qualifications

• Master's or PhD in Computer Science, Mathematics, or a related field (with a focus on AI/Deep Learning). - Experienced in Python programming as well as understanding of modern programming paradigms and patterns. - Proven experience in Deep Learning model optimization (specifically Quantization, Pruning, or Sparsity). - Experienced in model training frameworks such as PyTorch or TensorFlow, and inference solutions such as OpenVINO. - At least 3 years of software development. - Spoken and written English: upper-intermediate or advanced.
• Preferred (Nice-to-Have) Qualifications: - Hardware Awareness: Understanding of how neural networks map to hardware (CPU, GPU, NPU) and why specific optimizations are necessary for memory-constrained environments. - Familiarity with modern Large Language Model architectures (Transformers, Diffusers, etc.).