Computer Vision Engineer – Visa & Relocation Provided

🏢 Agnico Eagle Mines Limited📍 Rouyn-Noranda, Quebec, Canada💼 Full-Time💻 On-site🏭 Industrial Automation💰 85000-120000 per year

About the Company

Agnico Eagle Mines Limited is a senior Canadian gold mining company that has produced precious metals since 1957. Our operations span Canada, Australia, Finland, and Mexico. We are committed to fostering a culture of innovation, sustainability, and operational excellence. At Agnico Eagle, we leverage cutting-edge technology to enhance safety, optimize processes, and ensure the responsible extraction of resources. Join our team in Rouyn-Noranda, a vibrant community at the heart of Quebec’s Abitibi-Témiscamingue region, and contribute to the future of smart mining.

Job Description

We are seeking a highly motivated and skilled Computer Vision Engineer to join our innovative technology team in Rouyn-Noranda, Quebec. This is a unique opportunity to apply advanced computer vision techniques to real-world industrial challenges within the mining sector. You will be instrumental in developing, implementing, and deploying CV solutions for automation, safety monitoring, geological analysis, and equipment optimization. We welcome international talent; visa sponsorship and comprehensive relocation assistance will be provided for successful candidates eager to embark on a new chapter in Canada.

Key Responsibilities

  • Design, develop, and implement computer vision algorithms and systems for various mining applications, including object detection, tracking, 3D reconstruction, and quality control.
  • Integrate computer vision solutions with existing hardware and software platforms, including robotic systems, IoT devices, and data analytics pipelines.
  • Perform data acquisition, annotation, and management for training and validating machine learning models.
  • Conduct thorough testing, debugging, and optimization of CV systems to ensure robustness and performance in harsh industrial environments.
  • Collaborate with cross-functional teams, including engineers, geologists, and operations personnel, to identify new opportunities for computer vision applications.
  • Stay abreast of the latest advancements in computer vision, machine learning, and artificial intelligence to continually enhance our technological capabilities.
  • Document technical specifications, research findings, and project progress effectively.

Required Skills

  • Proficiency in Python and/or C++ programming.
  • Strong experience with computer vision libraries such as OpenCV.
  • Familiarity with deep learning frameworks like TensorFlow, PyTorch, or Keras.
  • Solid understanding of image processing, machine learning fundamentals, and statistical analysis.
  • Experience with real-time computer vision applications.
  • Ability to work independently and as part of a collaborative team.
  • Excellent problem-solving skills and attention to detail.

Preferred Qualifications

  • Master's or Ph.D. in Computer Science, Electrical Engineering, Robotics, or a related field.
  • Experience in industrial automation, robotics, or heavy machinery sectors.
  • Familiarity with cloud computing platforms (AWS, Azure, Google Cloud) for machine learning deployment.
  • Knowledge of 3D vision, point cloud processing, or augmented reality.
  • Experience with embedded systems and hardware acceleration for computer vision.

Perks & Benefits

  • Comprehensive health, dental, and vision insurance.
  • Generous paid time off and holidays.
  • Visa sponsorship and full relocation package (including travel, temporary accommodation, and settling-in support).
  • Competitive retirement savings plan with company match.
  • Performance-based annual bonuses.
  • Opportunities for professional development, training, and career advancement.
  • Access to state-of-the-art facilities and equipment.
  • Employee assistance program.

How to Apply

If you are interested in this position, please click the "Apply Now" button below. To ensure your application is properly considered, please prepare the following:

  • An up-to-date Resume or CV
  • A brief cover letter summarizing your experience and motivation

Applications are reviewed on a rolling basis. Only shortlisted candidates will be contacted for an interview.

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