Machine Learning Specialist
2 weeks ago
Grazper is seeking a highly skilled Machine Learning Specialist to join their team of talented engineers and developers in Copenhagen.
The ideal candidate will have a strong background in machine learning and computer vision, with experience in developing and implementing algorithms and methodologies for processing and analyzing human pose data.
Key Responsibilities- Conduct research in machine learning and computer vision to enhance the understanding and utilization of human pose data.
- Develop and implement algorithms and methodologies for processing and analyzing human pose data.
- Contribute to the development of a modern MLOps pipeline to streamline model deployment, versioning, monitoring, and retraining.
- Stay updated with the latest advancements in machine learning and related fields and apply them to improve Grazper's technology and products.
The ideal candidate is expected to have a PhD in math, physics, computer science, or machine learning, or an MSc in a relevant field combined with relevant experience.
Additionally, Grazper prefers candidates who have experience working with computer vision, industry experience, software development skills, and hands-on network training.
About GrazperGrazper is a leading company in human pose estimation and behavioral analysis, with a strong focus on innovation and product development.
The company is owned by Yokogawa and operates under the umbrella of a Japanese company that holds a great position in the Nikkei Stock index.
Grazper's AI solution is a camera-based AI that can accurately track people's behavior in large physical environments.
What We OfferGrazper offers an attractive compensation package according to qualifications, a dynamic and informal working environment, and opportunities to work with cutting-edge technology and products.
The company is committed to innovation and continuous learning, and the ideal candidate will have the opportunity to contribute to the development of new technologies and products.
LanguageEnglish is the primary language used in the company, and the ideal candidate should be fluent in English.
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