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Senior ML engineer builds and deploys computer-vision AI models for smartphone-based 3D motion analysis used in clinical diagnostics and orthopedics.
Designs and trains machine-learning models to detect advanced endpoint threats using CPU performance telemetry, then optimizes them for real-time inference on AMD GPUs and NPUs.
Builds and optimizes low-latency data pipelines and real-time ML inference layers for a hardware-assisted endpoint security platform, integrating CPU telemetry with AMD GPU/NPU inference engines.
Build and optimize scalable ML infrastructure for model serving, deployment, and lifecycle management using Python, PyTorch, and AWS serverless tools.
Designs, builds, and deploys AI/ML models for Android devices, focusing on NLP and model optimization for mobile inference.
Designs and builds scalable backend systems for an industrial AI company, focusing on edge computing, IoT data pipelines, and ML model deployment using Python and PostgreSQL.
Principal Machine Learning Platform Engineer (Prisma AIRS) Location: Santa Clara, United States of America Remote Type: No Time Type: Full time Job Description Our Mission At Palo Alto Networks®, we’re united by a…
Build and deploy production-grade ML models in San Jose, scaling distributed training across multi-GPU clusters and optimizing performance for low-latency serving.
About the Role Applied AI at Uber builds intelligent systems that power critical product experiences across the platform. As a Senior Machine Learning Engineer — Computer Vision, you will develop and deploy…
Build and deploy AI models for 3D medical imaging to speed up clinical trials; core tech includes PyTorch, ONNX, TensorRT, Docker, and cloud ML pipelines.
Principal AI Engineer at Verizon, leading complex propensity models to predict customer behaviors and churn, empowering marketers and driving customer retention.
Lead a team to design, build, and deploy advanced computer vision and sensor-fusion algorithms for geospatial-intelligence missions, using deep learning, CUDA, and real-time tracking in Python/C++.
Confido is the AI infrastructure powering modern CPG — the platform that 200+ brands like OLIPOP, Simple Mills, Dr. Squatch, and Tropicana use to run everything from deductions to production planning. Finance,…
- 5+ years of non-internship professional software development experience - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 5+ years of…
Build and deploy efficient, low-latency AI systems for Japanese enterprise customers, optimizing models from discovery through production across consumer electronics, automotive, life sciences, and financial services.
Designs and builds a next-gen, real-time search platform at Apple scale, blending Generative AI with Information Retrieval to power user-facing experiences.
Lead the development and optimization of AI/ML models (CNNs, Vision Transformers, LLMs) for AMD’s next-gen compute platforms, focusing on compiler toolchains, performance tuning, and system-level engineering.
Lead a team building production-grade computer vision models in Python/PyTorch to improve workplace safety, owning the full ML lifecycle from data to deployment.
Data Center AI Systems Engineer (Competitive Analysis) - Riyadh, KSA Location: Riyadh, Saudi Arabia Department: Systems Engineering Work Location: onsite Company: Qualcomm Middle East Information Technology Company LLC…
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