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Analyze and optimize ML inference performance (latency, memory, power) on Apple Silicon, working across the SW stack, low-level drivers, and HW debug involving CPU, GPU, and Neural Engine using Python/C++ and frameworks like PyTorch and MLX.
Build and optimize the Core ML Runtime and graph compilation system for on-device ML execution across Apple platforms, using C++/Swift, compiler stacks like MLIR/LLVM, and deep systems programming expertise.
Analyze and optimize on-device ML model performance (latency, memory, power) on Apple Silicon for iPhones and Macs, working with frameworks like PyTorch and MLX across CPU, GPU, and Neural Engine.
Providence is seeking an exceptional Principal Cybersecurity Architect to lead the research, development, and deployment of Small Language Models (SLMs) specialized for healthcare and cybersecurity applications. This…
Über den Bereich Das AI Platform Engineering Team (HMAT1) verfügt über umfassende Erfahrung im Design, in der Integration sowie im Betrieb von KI- und Datenplattformen und deren Komponenten. Durch seine breite…
Murata Vios is a global medical device company dedicated to creating a paradigm shift in the way healthcare is delivered. Through the utilization of our internet-of-things medical-grade sensors and virtual patient care…
Job Req ID: 29071 Essential Duties and Responsibilities: Design, train, and optimize deep learning models for PCBA defect detection (e.g., missing components, misalignment, solder bridges, tombstoning). Deploy and…
Position Overview We are seeking a highly skilled Senior AI Engineer with deep expertise in Large Language Models (LLMs), Vision-Language Models (VLMs), and agentic model architectures. The ideal candidate will have a…
Position Overview We are seeking a highly skilled AI Engineer with deep expertise in Large Language Models (LLMs), Vision-Language Models (VLMs), and agentic model architectures. The ideal candidate will have a strong…
Fujitsu Research india Private Limited (FRIPL) Job Description for Software Engineering Manager Job Title: Software Engineering Manager Role Purpose A software engineering manager oversees the design and development of…
Develops and deploys computer vision and deep learning models for UAV navigation and autonomy on edge hardware, from research to production, using Python and PyTorch.
Builds and maintains machine learning infrastructure for AB InBev’s B2B platform BEES, including training pipelines, inference services, and monitoring, using Python, PySpark, Kubernetes, and Azure cloud.
Senior Machine Learning Engineer at AB InBev Growth Group in Campinas, Brazil, building and scaling ML pipelines for the BEES B2B platform using Python, PySpark, Kubernetes, and Azure Cloud.
Build and scale ML systems for BEES, AB InBev’s B2B commerce platform, owning end-to-end pipelines from data to production inference.
Build and maintain ML platform components for a B2B e-commerce SaaS, including training pipelines, inference services, and observability, using Python, PySpark, Kubernetes, and Azure.
Take ML and computer vision models from research prototypes to production across edge devices and cloud GPU infrastructure, owning evaluation pipelines, data feedback loops, and deployment mechanics using Python, PyTorch, ONNX/TensorRT, Docker, Kubernetes, and Kafka.
The Staff Machine Learning Engineer will lead the development of Edge AI models for in-vehicle health monitoring and failure prediction. The role involves owning the end-to-end ML pipeline, including model training, optimization for resource-constrained devices, and deployment using technologies like PyTorch, TensorFlow, and C++.
The Senior Staff Machine Learning Engineer will lead the development and deployment of Edge AI models for in-vehicle health monitoring and failure prediction. This role involves managing the end-to-end ML pipeline, including model training, optimization for resource-constrained devices, and integration with vehicle systems.
Deep Learning Engineer designing, training, and deploying neural networks for real-time radar detection, classification, and tracking of small airborne objects using PyTorch, with edge optimization for production systems.
Develops and optimizes computer vision algorithms for SLAM and VIO systems, integrating multi-sensor data to improve localization in C++/Linux environments.
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