AI developer - data generation

This role offers the opportunity to apply artificial intelligence and machine learning to the generation of image-based datasets within the life sciences and pharmaceutical industry. You will develop and refine AI-driven approaches for creating datasets that reproduce the characteristics of real-world domain data. Working as an independent contributor, you will collaborate closely with developers, UI/UX designers, product, business, and architecture teams. The position combines hands-on machine learning development, computer vision, data analysis, and software engineering. You will contribute across the lifecycle of models and datasets, from implementation and evaluation to refinement and production-ready delivery. Success requires technical depth, creativity, adaptability, strong communication, and a genuine interest in learning emerging technologies and techniques.

• Master’s degree or equivalent professional experience in a relevant engineering, computer science, science, or technical discipline.
• 3+ years of industry experience working on multidisciplinary, image-based projects in engineering or science environments.
• Strong theoretical and practical experience in machine learning, including experience implementing and evaluating machine learning models.
• Demonstrated experience applying deep neural networks to computer vision or other image-based problems.
• Experience understanding and translating business team requirements into technical solutions.
• Proven experience creating, managing, manipulating, and analyzing datasets, preferably large-scale datasets.
• Ability to work with and derive insights from data originating from different sources.
• Strong software engineering skills, including the ability to improve existing code and produce clean, reusable, production-ready solutions.
• Proficiency in Python and familiarity with deep learning and data science tools and frameworks such as Caffe, Keras, TensorFlow, PyTorch, NumPy, and scikit-learn.
• Excellent written, verbal, and interpersonal communication skills.
• Collaborative mindset with a willingness to participate in peer reviews, share knowledge, and support team success.
• Comfortable working in uncertain and evolving environments while remaining positive, persistent, organized, disciplined, and independent.
• Strong interest in self-directed learning and keeping up with new technologies, algorithms, and machine learning techniques.