Machine Learning Engineer

Company

blueOASIS is a young and growing company focusing on developing sustainable solutions for the blue economy. blueOASIS is working on four scopes : numerical analysis for offshore renewables and ships, underwater acoustics, smart ocean modelling and monitoring, and digital twining. Our team is growing and looking for an expert in AI / ML development with solid programming skills to contribute to our mission.

Role description

We are looking for a Machine Learning (MLOps / DevOps) Engineer to join our team and drive innovation in marine and environmental technologies. Responsibilities include :

• The collection, processing, and augmentation of acoustic datasets, as well as the simulation and modelling of physical environments, and computer vision tasks.
• Designing, training, and deploying machine learning models using well established machine learning practices for applications in underwater acoustics, physical simulations, and computer vision.
• Applying signal processing techniques (e.g. audio, image) to solve complex challenges.
• Collaboration across teams to integrate ML solutions in real-world deployments for oceanographic and environmental monitoring systems, towards real-time Digital Twins of the Ocean (DTO).
• Assist in implementing robust pipelines for data processing and MLOps to streamline workflows and ensure reproducibility.
• Researching and experimenting with state-of-the-art AI and ML techniques for application in the blue economy.

Expertise needed

Added value (some of these skills are a plus)

General conditions