SUMMARY

We are seeking an R&D Engineer in Artificial Intelligence to join our company’s Data Science division.
The recruited staff will actively participate in the development of new AI products, as well as in the rigorous management of data available within the company.
We are looking for either a highly motivated junior profile or a senior profile in the design and deployment of ML and DL algorithms. The candidate must demonstrate strong methodological rigor and have an excellent understanding of product requirements to develop relevant and robust solutions. Experience in applying AI algorithms to 3D medical images is a plus.
If you are passionate about new technologies and want to contribute to advancing healthcare by developing relevant and robust solutions, we invite you to submit your application.

RESPONSIBILITIES

• Develop AI models for medical data analysis (primarily image-based) following a rigorous methodology
• Collaborate with other divisions to ensure alignment between technical solutions and product objectives
• Design and document relevant evaluation protocols to validate model robustness
• Lead the management of the datasets used for model creation
• Participate in defining performance criteria in collaboration with product teams
• Contribute to regulatory documentation required for integrating AI models into the company’s product
• Implement systematic validation and testing processes
• Ensure complete traceability of experiments and technical choices

MUST HAVE

• Master’s degree or Engineering degree with a strong data component or a more theoretical background, e.g., computer science, mathematics, physics.
• Advanced knowledge of PyTorch framework
• Proficiency in foundational ML algorithms, e.g. clustering, regression, and optimization techniques, as well as DL architectures such as CNNs, autoencoders, and attention mechanisms
• Excellent analytical and critical thinking skills for assessing the relevance and effectiveness of proposed solutions
• Methodological rigor and attention to detail in managing data and conducting experiments
• Ability to understand and translate business needs into technical solutions
• Excellent communication skills for sharing results and technical choices

NICE TO HAVE

• PhD in Data Science, Machine Learning, or related field with a strong focus on data analysis
• Publicly available portfolio of ML/DL projects
• Around 2 years of experience as a data scientist or in data-related roles
• Startup environment experience
• Experience in medical image analysis
• AWS experience
• Experience in implementing quality processes for AI model development

DESIRED QUALITIES

• Rigor and methodology in scientific approach
• Ability to step back and question technical choices
• Product vision and understanding of business challenges
• Constant focus on quality and reproducibility of results
• Enthusiasm for research and development of new technologies