AI Engineer

About the Company:

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.S., supported by a robust supply chain across Mexico, China, Indonesia, Vietnam, and Europe.

Position Overview:

AI Engineer

Key Responsibilities:

• Design Rule Engine Development

  : 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

• Spatial Constraint Solving

  : 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

• Design Validation

  : Ensure generated designs meet safety codes, ergonomic standards, and functional requirements

• Machine Learning for Design Preferences

  : Build models to understand and predict user design preferences and style choices

• Multi-constraint Optimization

  : Balancing aesthetics, functionality, cost, and space utilization

• Real-time 3D Visualization

  : Interactive systems for design preview and modification

Required Technical Skills:

Computer Vision & 3D Processing

• OpenCV
• Open3D
• Detectron2/SAM/similar technologies

Machine Learning & Deep Learning

• PyTorch
• Hugging Face Transformers
• LightGBM/XGBoost
• MLflow
• Data Management

Required Qualifications:

• 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

Preferred Qualifications:

• 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