Machine Learning Engineer in Fashion Tech

vor 2 Wochen

Köln, Nordrhein-Westfalen, Deutschland SHK UG Vollzeit
About stoodioAI

stoodioAI is a Cologne-based startup that's pushing the boundaries of fashion photography and design by harnessing the power of Generative AI. Our goal is to reshape the fashion industry with a sustainable and added value-generating impact.

Job Description

We're seeking a highly skilled Machine Learning Engineer to join our team and contribute to the development of our AI-generated fashion imagery platform. As a key member of our team, you'll be responsible for researching and developing advanced machine learning models to improve the generative capabilities of our platform.

Key Responsibilities
  • Research and develop advanced machine learning models to improve the generative capabilities of our platform
  • Collaborate with the AI team to integrate new models into the existing systems
  • Analyze and interpret complex datasets to enhance image generation quality, focusing on fashion imagery
  • Work with development of end-to-end solution in cross-functional teams
  • Deploy AI models on AWS and other cloud platforms
  • Document and present research findings in a comprehensive thesis aligned with academic requirements
Requirements
  • Ideally enrolled in a Master's program in Computer Science, Machine Learning, Artificial Intelligence, or a related field in an NRW-based University
  • Proven academic background in machine learning, deep learning, computer vision, or related areas
  • Background in computer science
  • Prior experience or coursework in image processing or generative models is highly desirable
  • Proficiency in programming languages such as Python and experience with machine learning frameworks (e.g., TensorFlow, PyTorch)
  • Preferred qualification: Full stack development (HTML, CSS, Javascript, React, Node etc.)
Benefits
  • Hybrid or remote work within NRW (Germany)
  • Opportunity to work on cutting-edge AI technology in the fashion domain
  • Close mentoring and guidance from experienced professionals in the field
  • Exposure to a dynamic startup environment with a diverse and inclusive team
  • Potential for the thesis work to contribute significantly to stoodioAI's product development

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