Machine Learning Expert

About Prelytics.ai

At Prelytics, a part of u-Glow GmbH, we work passionately on innovative services in the areas of software development, machine learning, and systems engineering. Our goal is to offer innovative solutions that inspire our customers and drive progress in the industry.

Your Tasks

• Image Recognition: Develop and implement image recognition algorithms for innovative applications.
• Semantic Segmentation: Design and optimize semantic segmentation solutions for enhanced image analysis.
• Analysis of Connected Components: Explore and implement methods for the analysis and processing of connected components in visual data.
• Exploring New Technologies: You will explore and research emerging technologies and standards that are relevant to our network products. Staying updated on the latest advancements is crucial to maintaining a resilient network infrastructure.

Your Profile

• You already have knowledge in the computer vision area.
• You are studying Computer Science, Electrical Engineering, Information Technology, or a related field.
• Familiarity with Version Control Systems like Git.
• Experience with at least one of the following frameworks: PyTorch, TensorFlow, or OpenCV.
• Language Skills: Proficiency in English or German is important, as clear communication is essential for collaborating with our international team.

Our Benefits

• Versatile projects with a high practical relevance.
• Learning by Doing: We believe in a "learning by doing" approach, providing you with the autonomy to take ownership of your work and learn from hands-on experience.
• Open Culture for Making Mistakes: Our organization fosters an open culture that encourages learning from mistakes. You will have the freedom to explore your own ideas and grow from them, supported by our team.
• Collaboration in a Dedicated Team: You will collaborate with a young, dedicated, and mutually supportive team, where teamwork and knowledge sharing are valued.
• Flexibility: We offer flexibility in work time arrangements, ensuring an optimal work-life balance and compatibility with your studies and part-time commitments.
• Remote Work: This opportunity allows you to work 100% remotely from the comfort of your home, providing flexibility and convenience while pursuing your studies and personal activities.

We look forward to welcoming you to our team and collectively contributing to the development of resilient network systems and cybersecurity solutions.

Job Type: Full-time, Part-time, Internship

Work Schedule:

• 8-hour shift
• No weekends
• Monday to Friday

Benefits:

• Flexible working hours
• Home office option

Work Location: Remote