Are you passionate about using technology to make a meaningful impact in the medical field? At Sii, a renowned leader in IT and engineering services, we pride ourselves on being a Great Place to Work. Our focus on long-term collaboration fosters a supportive environment where innovation thrives and personal growth is encouraged. We’re excited to partner with a cutting-edge client that’s revolutionizing healthcare through state-of-the-art technology. Join us in a dynamic role where your contributions will drive advancements in patient care and scientific research, making a real difference in people’s lives.

If you're ready to apply your machine-learning expertise to exciting challenges in the medical industry, we want you on our team!

• Analyzing large-scale image datasets by collecting, cleaning, and preparing them to unlock insights that fuel impactful solutions
• Developing groundbreaking computer vision models that blend classical techniques with deep learning, tackling real-world challenges head-on
• Collaborating with diverse teams across functions to define project requirements, sharing technical insights that drive meaningful business decisions
• Owning data science projects from start to finish, ensuring tasks are completed on time while meeting and exceeding project goals
• Implementing and optimizing machine learning pipelines, including data processing and model deployment, to enhance efficiency and performance

• At least 5 years of experience in data science, computer vision, or image processing, ideally with large-scale datasets
• In-depth knowledge of classical computer vision techniques, such as image registration, signal processing, and morphological operations
• Proficiency in deep learning techniques, including CNNs, Transformers, and data augmentation, applied to image data
• Strong programming skills in Python, with experience using frameworks and libraries like PyTorch, TensorFlow, Keras, OpenCV, and scikit-image
• Fluent in English (B2 level or higher), possessing excellent communication skills to effectively engage with both technical and non-technical stakeholders.

Optional:

• Master's degree in Computer Science, Electrical Engineering, or a related quantitative discipline with a specialization in machine learning or artificial intelligence

Job no. 241023-R20IF