Machine Learning Engineer (Computer Vision) (m/ž)

Become part of the team building medical imaging software that helps clinicians make better decisions. You will work on computer vision models for real clinical use, developing AI-powered algorithms to analyze medical imaging data including MRI, CT, and X-ray. Our multidisciplinary team of radiologists, ML engineers, and software engineers collaborates to transform raw imaging data into actionable clinical insights. We're particularly interested in junior and mid-level engineers looking to deepen their ML expertise in a medical context. We'll tailor the role's scope and expectations to match your experience and growth trajectory. Key Responsibilities - Design, train, test, and optimize deep learning models (image segmentation, classification, object detection,...) - Build robust pipelines for data processing, model training, and inference - Design and test algorithms on top of deep learning backbones to extract medical insights from images - Collaborate with radiologists and software engineers to deliver production-grade solutions - Contribute to research discussions and stay up to date with recent advancements Location: Hybrid (Zagreb) or Remote (Croatia) Job Type: Full-Time Experience Level: Junior / Mid / Senior

Requirements: - Hands-on experience with computer vision - Solid understanding of computer vision architectures and techniques - Proficiency in Python and ML frameworks such as PyTorch or TensorFlow - Familiarity with software engineering best practices, including Git, Docker, and CI/CD pipelines - Good understanding of data structures, algorithms, and linear algebra - Excellent communication and teamwork skills Nice to Have: - Background in applying machine learning to medical data or clinical workflows. - Experience with edge deployment and inference optimization - Knowledge of radiology workflows and medical data formats (DICOM, HL7, FHIR) - Public GitHub or portfolio showcasing real-world ML projects