Machine Learning Engineer - Computer Vision Expert

{"h3": "Key Responsibilities", "ul": [{"li": "Develop and enhance machine learning systems, focusing on computer vision applications."}, {"li": "Collaborate with the team to design and implement data-driven solutions that drive business value."}, {"li": "Contribute to the development of high-quality software and ensure adherence to best practices in software engineering."}], "h3": "Requirements", "ul": [{"li": "Master\u2019s degree in Computer Science, Mathematics, Data Engineering, Data Science, or equivalent experience."}, {"li": "Proven experience as a machine learning engineer with a strong background in computer vision."}, {"li": "Strong understanding of machine learning systems and their applications."}, {"li": "Excellent mathematics, statistics, and science skills."}, {"li": "Multiple years of experience with Python, Git, software testing, and CI/CD."}, {"li": "Fluent in English, both spoken and written."}, {"li": "Ability to work in a small, agile team with quick decision-making."}], "h3": "Preferred Qualifications", "ul": [{"li": "Exceptional software engineering skills."}, {"li": "Experience with PyTorch."}, {"li": "Experience working with geodata."}, {"li": "Proficiency in German."}], "h3": "What We Offer", "ul": [{"li": "Contribute to a common purpose: work towards climate protection and ensure forests can realise their full potential."}, {"li": "Profit from our benefits: choose between a Wellpass membership, a subsidy for your public transport ticket, or a bike lease."}, {"li": "Develop your skills: participate in regular internal training courses and use a budget of €1,000 per year for external training opportunities."}, {"li": "Live flexibility: organise your working hours individually and use our mobile and office culture."}, {"li": "Promote an open and inclusive culture: work with people from different backgrounds and contribute your own ideas."}, {"li": "Take on responsibility: contribute to the development of high-quality software and ensure adherence to best practices in software engineering."}]