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Applied AI Research Scientist
An Applied AI Research Scientist (hybrid, Montreal) conducts advanced computer-vision and deep-learning research — building object detection, segmentation, and tracking models from diverse sensor data — and transitions them into production-ready solutions. Core stack: Python, C++, PyTorch/TensorFlow, Scikit-learn, OpenCV, with exposure to RGB, RADAR, LIDAR, and other imaging modalities.
GenAI Solution Architect AI/ML & GenAI
Senior architect role (12+ yrs) at a technology services firm: designing and leading delivery of generative-AI/ML systems — LLMs, RAG, agentic AI — on hybrid cloud while managing engineering teams of 8-12. Hybrid in Lahore, Karachi, or Islamabad, with possible relocation to Dubai. Stack: Python, LangChain, Kubernetes, AWS/Azure/GCP.
Senior Embedded Engineer - Imaging & Vision Systems
A senior embedded engineer designs and develops high-performance firmware and low-level C/C++ software for camera and imaging systems used in computer vision, medical diagnostics, and scientific imaging. Day to day involves real-time development on Linux/FreeRTOS, building device drivers and kernel modules, and testing with Python and GNU toolchains.
System Integration Engineer Robotics & Sensor Deployment
A System Integration Engineer in Montreal deploys and integrates robotic systems with sensors (LIDAR, IMU, GPS, cameras), manages Linux-based environments, and works with ROS/ROS2 middleware. The role involves hands-on on-site testing, calibration, and troubleshooting of hardware-software interfaces.