Machine learning engineer (Computer vision) in Bayern bei Schaffhausen Institute of Technology

We are building the Rolos Platform – an intelligent collaborative platform which aims to improve research team productivity. We believe that an era of data-driven research is coming, and the classical trial and error approach can no longer give satisfactory results without computational methods.

Duties and responsibilities:

• Deploying of computer vision machine learning models in products.
• Optimizing computer vision machine learning models.
• Increasing accuracy and performance of computer vision machine learning algorithms.
• Developing pipelines for data collection and preparation.
• Algorithms quality validation and monitoring.
• Developing services for machine learning models launch.
• Bug fixing support.

Qualifications and experience:

• BSc in Computer Science, Mathematics, Physics or similar field, Master’s degree is a plus.
• 2+ years of ML models developing experience.
• Solid knowledge of Python.
• Experience with modern deep learning frameworks like Pytorch, Tensorflow.
• Knowledge of main methods of supervised learning (regression, classification) and unsupervised learning (cluster analysis, dimensionality reduction).
• Experience in algorithms developing for image classification, object detection, object tracking, segmentation.
• Experience with MLOps tools (CVAT, Label studio, DVC, MLflow, Weights & Biases).
• Experience with C++ is a plus.
• Experience in developing cloud service Azure/GCP/AWS.
• Experience with Git, Linux.