Engage with customers at events to generate leads, educate them on products, and facilitate appointment-setting. Maximize brand visibility through strategic retail opportunities while managing booth setups and tracking marketing efforts.

Role Description Ready to do work that actually excites you? As a Cabinet Vision Drafter, you will be responsible for creating detailed drawings and plans for custom cabinetry projects using Cabinet Vision software. This role requires a strong understanding of woodworking techniques, proficiency in CAD, and the ability to interpret design specifications accurately. - Utilize Cabinet Vision software to create accurate 3D models and shop drawings for custom cabinetry projects. - Collaborate with designers, architects, and clients to understand project requirements and translate design concepts into technical drawings. - Generate cut lists, material lists, and CNC machine files from Cabinet Vision drawings to facilitate the manufacturing process. - Ensure all drawings comply with industry standards, building codes, and client specifications. - Incorporate changes and revisions to drawings based on feedback from clients and project stakeholders. - Coordinate with manufacturing teams to ensure seamless communication and implementation of design plans. - Review and verify dimensions, materials, and hardware specifications for accuracy and feasibility. Qualifications - Strong experience with Cabinet Vision software (essential) - Must have experience with Cabinet Vision - Ability to produce accurate shop drawings, cutting lists, and 3D renders - Excellent understanding of cabinetmaking, joinery, and construction methods - Ability to liaise with production staff to clarify details - Strong knowledge of materials, hardware, and finishes - High attention to detail and ability to meet deadlines - Ability to work independently and as part of a team - Trade qualification in cabinetmaking/joinery or 3+ years experience in drafting/setting out Requirements - Strong experience with Cabinet Vision software (essential) - Must have experience with Cabinet Vision - Ability to produce accurate shop drawings, cutting lists, and 3D renders - Excellent understanding of cabinetmaking, joinery, and construction methods - Ability to liaise with production staff to clarify details - Strong knowledge of materials, hardware, and finishes - High attention to detail and ability to meet deadlines - Ability to work independently and as part of a team - Trade qualification in cabinetmaking/joinery or 3+ years experience in drafting/setting out Benefits - HMO, Dental, and Life Insurance for you and one free dependent from day one (with the option to enroll additional dependents) - Paid Leaves: Birthday, Vacation, Medical, and Maternity (up to 6 Vacation Leaves are convertible to cash on your anniversary) - Employee Engagement Activities: Year-End Party, Family Day, Team Building, and more! Company Description If you’re thinking “this sounds like me”—it probably is. Click apply. We can’t wait to meet you.

We are seeking a Computer Vision Engineer with strong software and AI fundamentals to build and deploy high-performance AI models. You will handle the full pipeline—from training detection and segmentation models to optimizing them for production using NVIDIA TensorRT and Docker. Core Responsibilities - Model Training: Train and fine-tune models for Detection, Classification, and Segmentation (e.g., YOLO, ResNet, U-Net). - Tracking: Implement Multi-Object Tracking (MOT) algorithms for complex video streams. - Engineering: Write production-grade Python code with a focus on modularity and scalability. - Deployment: Containerize applications using Docker for consistent deployment.

We are seeking a Computer Vision Engineer with strong software and AI fundamentals to build and deploy high-performance AI models. You will handle the full pipeline—from training detection and segmentation models to optimizing them for production using NVIDIA TensorRT and Docker. Core Responsibilities - Model Training: Train and fine-tune models for Detection, Classification, and Segmentation (e.g., YOLO, ResNet, U-Net). - Tracking: Implement Multi-Object Tracking (MOT) algorithms for complex video streams. - Engineering: Write production-grade Python code with a focus on modularity and scalability. - Deployment: Containerize applications using Docker for consistent deployment.