Machine learning engineer for manufacturing systems

We are looking for a Machine Learning Engineer to join our cross-functional and global Manufacturing Software Development organization. In this role, you will research, develop, validate, and deploy machine learning solutions for complex manufacturing systems and CAD/CAM applications that support the production of millions of custom medical devices.

• Research, evaluate, and apply state-of-the-art machine learning techniques to improve medical device manufacturing processes.
• Design, develop, and optimize deep learning models for diverse data modalities, including 3D meshes and geometric data, images and computer vision datasets, structured and tabular data
• Develop multimodal AI solutions that combine information from multiple data sources.
• Perform model validation, performance analysis, error investigation, and continuous improvement activities.
• Collaborate with software engineers, architects, manufacturing specialists, and product teams to Integrate models into 3D CAD/CAM systems.
• Establish and maintain robust ML development and experimentation workflows.
• Document technical approaches, validation results, and implementation recommendations.
• Drive ownership of assigned machine learning components throughout their lifecycle, including maintenance, monitoring, and enhancement.
• Stay current with emerging research and evaluate the applicability of new scientific advances to real-world manufacturing and orthodontic workflows.

• Master's degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Statistics, Applied Mathematics, Data Science, or a related technical field.
• 4-6 years of industry experience developing and deploying machine learning solutions in commercial environments.
• Strong experience building deep learning applications, preferably in computer vision or geometric processing domains.
• Good understanding of modern machine learning techniques, including semantic and instance segmentation, object detection and classification, transformer architectures, vision transformers
• Strong programming skills in Python.
• Hands-on experience with PyTorch or equivalent deep learning frameworks.
• Strong mathematical foundation including linear algebra, optimization methods, probability and statistics, bayesian methods, analytical geometry
• Ability to analyze scientific literature and translate research findings into practical solutions.
• Strong written, verbal, and presentation skills.
• English level B2 or higher.
• Будет плюсом: Experience with integrating ML model to C++ applications; Hands on experience with 3D CAD/CAM systems; Experience with 3D machine learning applications:; Experience deploying ML solutions in cloud-based environments; Experience with MLOps technologies and workflows; Scientific publications, patents, or contributions to open-source projects; Knowledge of SQL and large-scale data processing; Experience working within regulated environments such as medical devices, healthcare, manufacturing, or quality systems

• Условий в вакансии нет