Machine Learning Engineer
AI Vision Sweden AB / Datajobb / Stockholm
2024-12-09
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Are you a recent graduate passionate about applied machine learning and computer vision? Join AI Vision, a dynamic team of innovators, including KTH alumni, building state-of-the-art deep learning solutions!
About AI Vision
AI Vision specializes in cutting-edge computer vision for industries such as manufacturing, timber, steel, and food processing, working with some of Sweden's largest companies. We develop custom solutions for quality control, fault detection, and operational efficiency, driving the future of smart manufacturing.
What You'll Do:
Design, build, and train advanced computer vision models (e.g., object detection, segmentation) in collaboration with senior engineers.
Integrate AI and robotics in real-world industrial settings to create more efficient manufacturing processes.
Visit factories to identify and address practical problems using computer vision solutions.
Stay up-to-date with the latest advancements in deep learning and computer vision research.
Lead or co-lead projects to build skills in project management and technical innovation.
Who You Are:
Master's degree in Computer Science, Machine Learning, Robotics, or related field.
Strong background in computer vision, deep learning, and AI.
Proficiency in Python and experienced with machine learning frameworks such as PyTorch, TensorFlow.
Passionate about problem-solving abilities, learning, and innovation.
Team-oriented with strong communication skills.
Bonus: Experience in training deep learning models and practical hands-on projects with camera equipment.
How to Apply:
Submit your CV and cover letter to
career@ai-vision.se. Applications are reviewed on a rolling basis, so apply today!
Note. This role is based in Stockholm, Sweden.
Så ansöker du Sista dag att ansöka är 2024-12-31
E-post:
career@ai-vision.se Omfattning Detta är ett heltidsjobb.
Arbetsgivare AI Vision Sweden AB (org.nr 559454-4420),
https://ai-vision.se/eng/ Klarabergsviadukten 63 (
visa karta)
111 64 STOCKHOLM
Jobbnummer 9051032