Job Description

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.

Machine Learning Engineer (m/f/d)

=====================================

YOUR TASKS

Computer Vision & Deep Learning Development: + 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