Machine Learning & Computer Vision Engineer

4 days, 19 hours ago
Full-time
Senior
Software Development
Exotec

Exotec

Exotec provides elegant goods-to-person warehouse robotic solutions for leading brands, enhancing operational efficiency and worker conditions.

Automotive
251-1K
Founded 2015
$448M raised

Description

  • Design, train, test, and deploy machine learning and computer vision technologies for robotic systems.
  • Develop solutions that enable robots to perceive their environment, make decisions, and act in complex situations.
  • Validate integrated solutions through simulations, test benches, and real-world experiments.
  • Monitor the performance of deployed solutions and drive continuous improvements.
  • Contribute to the ML Vision team’s Agile ceremonies, including standups, refinement, planning, and retrospectives.
  • Help improve the quality of processes and products.
  • Participate in occasional evening and weekend on-call support for production systems in collaboration with support teams.
  • Maintain advanced expertise in machine learning, computer vision, and industrial robotics to propose innovative solutions.

Requirements

  • Degree from an engineering school or recognized university in machine learning, computer vision, or a related field.
  • At least 3 years of professional experience, ideally more than 6 years.
  • Advanced Python skills and working proficiency in C++.
  • Experience designing and deploying machine learning models, including data management, training, validation, and deployment.
  • Advanced knowledge of computer vision, including detection, segmentation, stereo vision, calibration, optics, and tracking.
  • Strongly appreciated: experience in industrial robotics.
  • A plus: experience with Agile environments such as Scrum or Kanban.
  • Clear and regular communication about your work.
  • Fluency in spoken and written French and English.

Benefits

  • Competitive health coverage, including mutual insurance and supplementary pension/health protection.
  • Collective bonus payments.
  • Family-friendly policy.
  • Internal and international mobility opportunities.
  • Numerous training and professional development opportunities.

Interested in this position?

Apply directly on the company website

Apply Now

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