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Build and scale real-time computer vision infrastructure for AR, including pipelines, deep learning models, and optimization in C++/Python.
Build and scale face-recognition systems using PyTorch/TensorFlow, own end-to-end ML pipelines on AWS, and lead fairness analysis for biometric models in production.
Develop 3D machine-vision inspection applications using C/C++ and libraries like OpenCV/PCL, turning customer requirements into high-performance tools for industrial automation.
Build and maintain full-stack applications using Python, .NET, FastAPI, and Next.js/React, with a focus on AI/ML integration, cloud architecture, and REST APIs.
Build and shape an AI-powered product from concept to production, designing backend services, APIs, and cloud infrastructure while integrating machine learning and computer vision.
Build and maintain the backend systems powering a computer-vision AI platform, including APIs, data pipelines, and model-serving integrations for healthcare, manufacturing, and retail customers.
Build and maintain Python-based RPA automations for healthcare revenue cycle workflows using Selenium, OpenCV, and AI/ML tools like OCR, integrating with EHR systems and Azure.
Build and optimize production-grade face biometrics and identity-verification systems using deep learning and computer vision, focusing on liveness detection, anti-spoofing, and fraud prevention.
Research and build deep-learning models for real-time video analysis, computer vision, and cybersecurity, then deploy them and publish findings in top-tier journals.
Build, train, and deploy ML/DL models (including computer vision) to solve business tasks, focusing on data prep, feature engineering, and production monitoring.
Build and ship embedded Linux/Android camera and multimedia stacks for cellular IoT modules that power smart POS, industrial gear, and AI vision devices across LATAM.
Design and scale backend services, APIs, and data pipelines for AI-powered media workflows, integrating generative models and optimizing performance.
Build and deploy AI/ML models for a public-sector client, focusing on OCR, object detection, and LLM fine-tuning using Python, PyTorch, Hugging Face, and AWS serverless tools.
Build and test lightweight AI models for video analytics using PyTorch/TensorFlow, then convert them for edge deployment and benchmark performance on target hardware.
Sr Software Engineering Manager (Canada Remote) Location: Vancouver, Canada, Quebec,Canada Offsite, Ontario,Canada Offsite, British Columbia Remote Work, Toronto, Canada (ONT40) Time Type: Full time Job Description…
About Current Surgical Inc. Current Surgical is a startup company developing technology on the frontier of engineering and biology. Our first product is a smart microinvasive needle that precisely destroys tumors…
Lead Engineer builds and deploys production-grade AI/ML models and inference pipelines for retail and operations use cases using Python, PyTorch/TensorFlow, and cloud ML tooling.
Design real-time computer-vision algorithms and DL models for video analytics, deploy them at customer sites, and publish findings in top-tier journals.
Develops and tests robotics software (C++/Python, ROS 2) for teleoperation, autonomy, and controls, integrating sensors and hardware for defense, healthcare, and industrial applications.
Build and deploy ML/AI models to uncover insights across production, R&D, and business domains using Python/R, TensorFlow, and SQL, then mentor junior team members and guide end-to-end model lifecycle from prototype to production.
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