Computer vision engineer
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Location:
Lisbon, Portugal
About the Role
We're looking for a Computer Vision / Machine Learning Engineer to develop and deploy advanced vision models for a high end robotics platform. You'll lead the full ML lifecycle—from data collection and training to deployment and performance monitoring—ensuring reliable operation in dynamic field environments.
Key Responsibilities
Develop, train, and validate deep learning models for object detection and segmentation (e.g., soft fruit detection). Manage end-to-end ML lifecycle, including data collection, labelling, and deployment. Build and maintain ML Ops pipelines for model versioning, CI/CD, and retraining. Integrate models with robotic platforms and optimize for real-world performance. Collaborate on camera and lighting system setup to maintain accuracy in variable conditions. Automate workflows for model development, testing, and deployment. Manage large-scale datasets with reproducibility in mind. About You Degree in ML, Computer Science, or related field. 2–3 years of hands-on experience in computer vision, machine learning and deep learning. Strong Python skills; proficient with Tensor Flow/Py Torch, Open CV. Familiarity with both deep learning and traditional computer vision techniques. Understanding of lighting/camera systems for imaging in low-light or complex conditions. Strong team collaboration and problem-solving skills. Strong documentation and communication skills, with the ability to work effectively in a cross-functional team environment. Additional Details Seniority level: Mid-Senior level Employment type: Full-time
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