Technisch engineer.

MagickTech is a forward-thinking technology company specializing in Software Product Development, Mobile Applications, SaaS Solutions, eCommerce Platforms, Enterprise Systems, and System Application Development. We leverage cutting-edge technologies, including Augmented Reality (AR), Virtual Reality (VR), Artificial Intelligence (AI), Machine Learning (ML), and Data Science, to develop innovative, high-performance solutions that drive business transformation. As a part of Magick Group, MagickTech operates alongside industry leaders like MagickWoods, one of North America’s premier manufacturers and marketers of high-quality kitchen and bath furniture. Headquartered in Toronto, Ontario, Canada, MagickWoods has a strong global presence, with manufacturing and assembly facilities in India and the U.We are seeking an innovative AI Engineer with expertise in AI/ML & Computer Vision to revolutionize automated space planning and design. You will build intelligent systems that automatically generate optimal interior layouts, particularly kitchen designs, by combining computer vision, 3D modelling, spatial reasoning, and rule-based design principles. The ideal candidate will bridge the gap between AI/ML technologies and interior design expertise to create automated design solutions. Build comprehensive rules engines for interior design constraints (work triangle optimization, ergonomic guidelines, building codes, aesthetic principles) ~ Automated Kitchen Design : Develop systems that analyze room dimensions and automatically place cabinets, appliances, and accessories following design best practices ~3D Space Planning : Create algorithms for optimal placement of hobs, sinks, refrigerators, and storage solutions based on kitchen workflow principles ~ Implement complex constraint optimization for furniture placement, clearance requirements, and accessibility standards ~ Computer Vision for Space Analysis : Process room scans, floor plans, and measurements to understand spatial constraints and opportunities ~3D Asset Population : Automatically populate 3D spaces with appropriate furniture, fixtures, and appliances from product catalogs ~ Machine Learning for Design Preferences : Balancing aesthetics, functionality, cost, and space utilization ~ Real-time 3D Visualization : Interactive systems for design preview and modification Computer Vision & 3D Processing Open3D Machine Learning & Deep Learning Data Management Bachelor's or Master's degree in Computer Science, Machine Learning, Computer Vision, or related field ~3+ years of experience in computer vision and machine learning ~ Strong programming skills in Python ~ Experience with constraint programming and optimization problems ~ Proven track record of building rule-based systems for complex decision-making ~ Strong understanding of 3D geometry, spatial relationships, and collision detection ~ Experience with version control (Git) and collaborative development PhD in Computer Vision, Machine Learning, or related field Interior Design Background : Formal training or significant experience in interior design, architecture, or space planning Experience with CAD software (AutoCAD, SketchUp, Revit) or 3D design tools Knowledge of kitchen and furniture industry standards and suppliers Experience with cloud platforms (AWS, GCP, Azure) for ML workloads Knowledge of containerization (Docker) and orchestration (Kubernetes) Experience with real-time 3D rendering and visualization Familiarity with furniture/product catalog management systems Experience with generative design algorithms