Computer Vision Engineer
ADB SAFEGATE2 days ago
Malmö, SwedenSenior
Responsibilities
- Design, develop, and implement computer vision and deep learning models for classification, object detection, segmentation, tracking, OCR, and action recognition.
- Build and optimize image and video data pipelines for ingestion, annotation, augmentation, training, evaluation, and inference.
- Optimize models for near-real-time execution across cloud, data-center, and NVIDIA edge platforms.
- Integrate model events, confidence, timestamps, and health status into operator monitoring workflows.
- Deploy, monitor, and maintain scalable and robust computer vision models in production.
- Address false positives, missed detections, model drift, and changing weather, lighting, and camera conditions.
- Collaborate with domain experts, software engineers, verification, and MLOps teams to deliver end-to-end computer vision solutions.
- Evaluate research, open-source libraries, and pre-trained models for production integration.
- Conduct experiments, analyze results, improve model accuracy and performance, and contribute to code reviews and technical documentation.
Requirements
- Bachelor’s or master’s degree in Computer Science, AI, Electrical Engineering, Mathematics, or a related discipline.
- At least 5 years of production experience in computer vision or deep learning.
- Strong programming skills in Python and experience with TensorFlow, PyTorch, or Keras.
- Deep experience with OpenCV and at least one of detection, segmentation, tracking, OCR, or video analytics.
- Experience with data preparation, model evaluation, deployment, monitoring, and MLOps.
- Strong analytical, experimental, collaboration, communication, reproducibility, documentation, ownership, and accountability skills.
- Preferred experience with real-time, multi-camera, edge, NVIDIA, or mission-critical systems.
- Preferred experience with video analytics in aviation, transport, or industrial sectors.
- Familiarity with Azure or AWS, microservice architectures, CI/CD pipelines, automated testing for AI models, Docker, Kubernetes, and edge deployment.
Benefits
- Dynamic and challenging environment with opportunities for growth and learning.
- Opportunity to shape airport operations technology and impact the company’s business.
- Collaborative culture emphasizing innovation, integrity, and inclusivity.
- Competitive compensation package including health benefits and more.
- Position is based in Malmö and joins the Apron R&D team.