It all starts from the business problem: you collaborate with the Product Owner and other business stakeholders to understand business needs, and design fit-for-purpose ML solutions; You then technically design, create, test and implement complex models (ML incl. computer vision) and end-to-end pipelines; At the same time, you will be responsible for managing running ML pipelines, including logging output, prioritizing and implementing bugs; You underpin this by writing production-ready code, following DevOps and MLOps concepts; You are a team player, co-defining our standards, supporting with code reviews, and discussions around common problems
Requirements:
Python and computer vision libraries (e.g., numpy, pandas, OpenCV, scikit-image); Frameworks associated with training and evaluation of image recognition tasks (PyTorch, TensorBoard, COCO); Databases (SQL); Infrastructure (GCP, GPU, Docker, GitHub, Actions, CI/CD)
Text:
Senior Machine Learning Engineer (Computer Vision) It all starts from the business problem: you collaborate with the Product Owner and other business stakeholders to understand business needs, and design fit-for-purpose ML solutions; You then technically design, create, test and implement complex models (ML incl. computer vision) and end-to-end pipelines; At the same time, you will be responsible for managing running ML pipelines, including logging output, prioritizing and implementing bugs; You underpin this by writing production-ready code, following DevOps and MLOps concepts; You are a team player, co-defining our standards, supporting with code reviews, and discussions around common problems Python and computer vision libraries (e.g., numpy, pandas, OpenCV, scikit-image); Frameworks associated with training and evaluation of image recognition tasks (PyTorch, TensorBoard, COCO); Databases (SQL); Infrastructure (GCP, GPU, Docker, GitHub, Actions, CI/CD)
Please click here, if the job didn't load correctly.
Please wait. You are being redirected to the job in 3 seconds.
