• Design, build, train, and experiment with state-of-the-art computer vision models (e.g., object detection, image segmentation, classification, facial recognition)from ideation through prototyping, ensuring models are robust and high- performing.
• Train models from scratch on large datasets with considerable noisy annotations.
• Process and analyze large-scale image or video datasets to uncover trends, patterns, and actionable insights.
• Present results in a clear and commercially impactful manner.
  Utilize advanced mathematical methods to solve complex visual recognition problems.
• Perform preprocessing of structured and unstructured data, such as cleaning and annotating image/video datasets, and preparing data for use in computer vision models and experiments.
• Leverage foundation models for semi-automated annotation processes and hypothesis testing.
• Contribute to research and development activities focused on computer vision.
• Explore innovative algorithms, develop prototypes, and run proof-of-concept experiments to test new approaches.

Would you continue your career in a growing international organization?

Join our partner, a Global media company as their next employee as a Data Scientist!

They transformed how advertisers manage creative deployment and media sourcing for campaigns while working with top brands, agencies, and media outlets. They connect creative flow across the advertising ecosystem with over 200,000 users and nearly four million assets.

• Master’s or PhD in Computer Science, Data Science, Artificial Intelligence, or a related field with a focus on computer vision and machine learning.
• 3+ years of hands-on experience in designing, developing, and deploying computer vision models, such as object detection, image segmentation, classification, and facial recognition.
• Proven track record of training models from scratch and solving novel, complex vision problems.
• Experience working with large-scale image and video datasets in real-world projects.
• Strong proficiency with Python, deep learning frameworks such as TensorFlow, PyTorch, and libraries such as OpenCV and Dlib for image processing and feature extraction.
• Strong understanding of mathematical foundations related to computer vision tasks, such as linear algebra, optimization, probability, and statistics.
• Experience in conducting research and developing prototypes to test innovative approaches, with a track record of exploring and experimenting with cutting-edge computer vision algorithms. 
• Nice to have: academic publications in the field of computer vision in recognized journals and conferences.
• Ability to document research results and methodologies clearly for future reference and knowledge sharing.
• Experience working in multidisciplinary teams, collaborating with other data scientists, engineers, and researchers to develop and implement computer vision solutions.

• Chance to join a growing organization 
• Annual bonus, (equal to a 13th month’s payment)
• Cafeteria
• 2 days of home office every week
• Private health insurance
• Work in a truly international environment