AI Vision Engineer, Byte-Code

AI Vision Engineer, Byte-Code

Company Byte-Code
Job title AI Vision Engineer
Job location Toronto, Ontario, Canada
Type Full Time

Responsibilities:

  • Collaborate with Xaba’s cross-functional team of engineers to build AI models leveraging state-of-the-art DNN, CNN, and GNN models to augment robotics cognition, and awareness and facilitate program generation
  • Conducting applied research in Robotics Welding, Inspection, Machining, and Assembling to gather data. This supports the development, training, auditing, and validation of physics-based AI models for robotics fabrication processes.
  • Training and Support:
  • Provide training and support for deploying AI models in real-world robotic applications.
  • Work closely with customers to understand their needs and ensure successful AI integration.

Requirements & Skills:

  • Collaboration and Communication:
    • Collaborate with sales and marketing teams to communicate the value of AI-driven robotics solutions to clients.
    • Participate in technical workshops and contribute to conferences showcasing AI applications in robotics.
    • Strong communication skills for presenting AI solutions to both technical and non-technical audiences.
  • Product Development Support:
    • Collaborate with the product development team to assess features and identify areas for improvement.
    • Contribute to the creation of technical documentation and training materials.
  • Quality Assessment and Bug Reporting:
    • Perform quality assessments of AI-driven robotics solutions.
    • Identify, prioritize, and report bugs to the development team.
  • Technical Proficiency:
    • 3+ years of working experience in Computer Vision related areas.
    • Proven experience of 3D and 2D data analysis process: gathering, cleaning, processing, and labeling.
    • Demonstrated competence in setting up vision devices from both hardware (installation, configuration, and calibration) and software (integration) perspectives.
    • Python programming language and core AI (Tensorflow/Pytorch, Scikit-Learn) and CV (Open3D/PCL, OpenCV, Scikit-Image) modules.
    • Familiarity with reading, understanding, and implementing research papers.
  • Continuous Learning:
    • A commitment to continuous improvement and staying updated on advancements in AI and robotics.

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