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We are looking for a senior-level AI/ML professional to lead the productionization, deployment, and continuous optimization of ML systems in mission-critical environments. This role requires strong technical…
As Clariti/CivCheck's first MLOps Engineer, you'll design, build, and scale the ML infrastructure behind their AI-powered plan review platform — end-to-end training, evaluation, and deployment pipelines, GPU model serving on cloud, CI/CD for ML, and production monitoring. Core stack: Python, Docker, Kubernetes, AWS/GCP/Azure, MLflow/Kubeflow.
Do you get excited about building cutting-edge perception systems that work reliably in the real world? Do you have a strong foundation in computer vision, robotics, or sensor fusion? Are you interested in shaping new…
Machine Learning Engineer at Rostelecom who plans LLM-based application architectures, builds ML backends and microservices, and optimizes inference performance. Core stack: Python, FastAPI, Docker, CI/CD, SQL, plus NLP/LLM/RAG tooling and inference optimizers like ONNX, OpenVINO, TensorRT, and vLLM.
AI Engineer at Nova Digital (the tech arm of Ukraine's NOVA ecosystem) builds and ships ML solutions — computer vision, NLP, ASR — plus RAG pipelines and AI agents for a smart chat-bot platform automating logistics and customer service. Core stack is Python with PyTorch/TensorFlow, ONNX/TensorRT serving, and agent frameworks like LangChain.
Senior ML Engineer building a high-performance video analytics system for sports refereeing at Sberbank, focusing on skeleton-based temporal analysis, model optimization, and a Python framework orchestrating 15+ concurrent CV/ML models.
AI Engineer (Senior/Expert) at VinFast building perception and end-to-end driving models for autonomous driving systems — spanning computer vision, multi-sensor fusion (camera, LiDAR, radar), dataset preparation, model training/evaluation, and real-time deployment on embedded platforms using Python, C++, and PyTorch/TensorFlow.
Salary: $20,000 – $30,000 per month Job description: We are seeking an experienced AI Software Engineer to lead and contribute to our ONNX model optimization and model deployment infrastructure. You will work at the…
О компании Мы 2UPLAB - международное диджитал - агентство полного цикла. Занимаемся проектированием, разработкой и дизайном сложных интернет-проектов, разрабатываем веб- и мобильные программные приложения для клиентов…
Build and optimize modern C++17 software for Qualcomm's AI Engine, enabling OEMs and developers to run deep neural networks on Hexagon processors in phones, cars, and embedded devices. Day-to-day work spans performance tuning, ML operator optimization, model analysis tools, and cross-compiling for Android, embedded Linux, and QNX.
This role involves developing and optimizing machine learning inference engines and runtime systems to ensure efficient AI model execution on Arm hardware. The engineer will work across the software stack, including compilers, drivers, and hardware abstraction layers, using C++ to diagnose and resolve performance issues.
Specific Skills and Experience Required We’re looking for C++ software development experience and good software engineering fundamentals. Experience could come from professional work, internships, academic projects,…
Job Overview At Arm, we are looking for an experienced Senior Principal Software Architect to shape how applications and developer frameworks connect to Arm's AI acceleration hardware . Do you enjoy solving complex…
Job Details: Job Description: The Role and Impact As an AI Frameworks Engineer in the Conversion, Performance, and Accuracy team, you will play a critical role in enabling the latest GenAI and Deep Learning models…
Senior Machine Learning Engineer at Capstan Medical builds perception for a robotic heart-valve treatment platform: image-to-robot registration and pose estimation from fluoroscopy/echocardiography, fused with robot kinematics, deployed in real time under FDA design controls. Hybrid role, onsite 3-4 days/week across Santa Cruz and West Menlo Park, CA.
Design and deploy AI models that process high-frequency sensor data from IoT devices to enable real-time automation in physical infrastructure systems.
MediCall AI — R&D-проєкт, профінансований грантом EIC (Horizon Europe) на 24 місяці. Ми будуємо систему, яка в реальному часі аналізує дзвінки пацієнтів до клінік. Вона поєднує акустику голосу зі змістом розмови,…
Design and build embedded video and AI pipelines for Axon’s body cameras and Fusus hardware, focusing on real-time edge processing and stable SDKs for first responders.
Build the AI core of ARAIAS, an AR smart-glasses training and assistance system for chronic wound care: benchmark and fine-tune computer vision models, run the end-to-end MLOps pipeline, and apply generative AI for synthetic medical images. Core stack is Python with PyTorch/OpenCV/TensorFlow, trained locally or in the cloud.
A senior machine learning engineer designs and trains deep-learning models in PyTorch for visual servoing in precision robot manipulation, integrating them into closed-loop robot control and building real-time inference pipelines in C++/Python optimized with ONNX, TensorRT, and CUDA.
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