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Senior Computer Vision Engineer
HíbridoTiempo completoAI & Machine LearningLogistics
Develop and deploy production-grade, multimodal AI systems that accelerate cargo X-ray inspections, support customs control, and identify fraudulent trade activity. This hybrid role is based in Israel with one office day per week.
Responsabilidades
- Research, design, implement, and evaluate deep learning models for X-ray imaging
- Develop self-supervised and contrastive learning solutions using state-of-the-art algorithms
- Design fusion algorithms for X-ray images, scanned documents, textual declarations, and structured data
- Evaluate and deploy large language model-based systems
- Work with large-scale customs datasets and annotated X-ray scans
- Deliver production-ready code and integrate research outcomes into live operational systems
- Balance model performance, data constraints, scalability, integration needs, and production readiness
- Collaborate with software engineers and domain experts
Requisitos
- At least 5 years of industry experience building and shipping deep learning systems, focused on computer vision
- Bachelor’s or master’s degree in electrical engineering, computer science, or an equivalent STEM field
- Production experience in computer vision
- Hands-on expertise with PyTorch, NumPy, Pandas, and Python’s scientific ecosystem
- Strong experience with multimodal AI and fusion of visual, textual, and numerical data
- Experience with distributed training and large-scale datasets
- Understanding of uncertainty modeling and quantification
- Strong coding practices and ability to produce maintainable software
Se valora
- Experience with AWS or GCP
- Experience with Docker and Kubernetes
- Experience in customs or logistics applications
- Experience with multi-view visual reasoning
- Experience with NLP-based systems