Ai engineer

About the Company :

Magick Tech is a forward-thinking technology company specializing in Software Product Development, Mobile Applications, Saa S Solutions, e Commerce 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, Magick Tech operates alongside industry leaders like Magick Woods, one of North America’s premier manufacturers and marketers of high-quality kitchen and bath furniture. Headquartered in Toronto, Ontario, Canada, Magick Woods 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 :

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, 3 D 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.

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

3 D 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

3 D Asset Population : Automatically populate 3 D 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 3 D Visualization : Interactive systems for design preview and modification

Required Technical Skills :

Computer Vision & 3 D Processing

Open CV

Open3 D

Detectron2 / SAM / similar technologies

Machine Learning & Deep Learning

Py Torch

Hugging Face Transformers

Light GBM / 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 3 D geometry, spatial relationships, and collision detection

Experience with version control (Git) and collaborative development

Preferred Qualifications :

Ph D 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 (Auto CAD, Sketch Up, Revit) or 3 D 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 3 D rendering and visualization

Familiarity with furniture / product catalog management systems

Experience with generative design algorithms