models with wearable data (e.g., continuous heart rate, motion, respiration). Exposure to embedded AI or edge model deployment (e.g., TensorFlow Lite, Core ML, ONNX). Knowledge of healthcare data privacy and security (e.g., HIPAA, GDPR). Familiarity with GMLP (Good Machine Learning Practice) and clinical evaluation frameworks. The successful More ❯
models with wearable data (e.g., continuous heart rate, motion, respiration). Exposure to embedded AI or edge model deployment (e.g., TensorFlow Lite, Core ML, ONNX). Knowledge of healthcare data privacy and security (e.g., HIPAA, GDPR). Familiarity with GMLP (Good Machine Learning Practice) and clinical evaluation frameworks. The successful More ❯
optimization. Benchmark, analyze, and improve AI workload performance. Collaborate with the hardware team to guide architectural decisions. Extend support to additional frameworks (e.g., TensorFlow, ONNX). Produce developer documentation and resources. Requirements: 5+ years of experience in AI/ML software development. Deep understanding of PyTorch internals and other major More ❯
optimization. Benchmark, analyze, and improve AI workload performance. Collaborate with the hardware team to guide architectural decisions. Extend support to additional frameworks (e.g., TensorFlow, ONNX). Produce developer documentation and resources. Requirements: 5+ years of experience in AI/ML software development. Deep understanding of PyTorch internals and other major More ❯
detection of inauthentic profiles, among the others! We leverage the most modern technological stack in this industry, both from a modelling standpoint (Tensorflow, Pytorch, ONNX) and from a MLOps perspective: we serve tens of thousands requests per second in our GPU-powered Kubernetes clusters! Some of our posts, if you … detection of inauthentic profiles, among the others! We leverage the most modern technological stack in this industry, both from a modelling standpoint (Tensorflow, Pytorch, ONNX) and from a MLOps perspective: we serve tens of thousands requests per second in our GPU-powered Kubernetes clusters! Some of our posts, if you More ❯
