Development and testing of innovative training approaches for neural networks
Object detection and segmentation using modern deep learning frameworks
Development of custom model architectures for multi-task learning applications
Transition from traditional algorithmic approaches to end-to-end learning solutions
Business-Driven ML Solutions:
Identification of business requirements based on customer needs and industrial applications
Preparation and curation of training datasets for machine learning models
Model selection and optimization according to performance and deployment criteria
Deployment of production-ready models in industrial environments
YOUR PROFILE
Education & Experience:
Successfully completed studies in Computer Science, Machine Learning, or comparable technical field
Several years of professional experience in industrial ML/AI environments
Proven track record of deploying ML solutions in production systems
Core Technical Expertise:
Deep understanding of machine learning and computer vision for image data
Strong programming skills in common ML languages
Experience with modern deep learning frameworks
Knowledge of computer vision principles and applications
Technical Skills:
GPU acceleration technologies
ML frameworks and development environments
Software engineering best practices and version control
System administration and deployment experience
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Are You a Mover?
Movers work passionately toward a common goal – with drive, innovation and the cleverness needed to get the job done. Movers have made Schmalz the market leader in vacuum automation and ergonomic handling systems. Are you a Mover? Then you’re the perfect fit for our rapidly growing family company – the perfect fit for Schmalz.