AI Engineer (Perception Software) (gn) @ Autonomous Navigation Venture, Belgium

About MAHI

At MAHI, we're pioneering the next generation of maritime autonomous navigation technology, and we're growing rapidly due to our recent successes. Our mission is to exceed customer expectations through high-quality products and exceptional support. We're a team of tech enthusiasts, software wizards, tinkerers (yes, our founders have 3D printers at home), and visionary business minds. If you're ready to provide value and truly make a difference, MAHI is the place to be. 

Located in the picturesque city of Mechelen, right at the heart of Flanders, MAHI offers a vibrant environment at the crossroads of Antwerp-Brussels and Leuven-Gent. 

Your Role & Responsbilities

Join our team at MAHI to work on the cutting-edge of AI technology! As an AI Perception Software Engineer, you will have the opportunity to engage with state-of-the-art AI models, including multi-headed neural networks. You'll be challenged to optimize AI performance on hardware with finite resources, pushing the boundaries of what's possible. 

Your role will also involve delving into anomaly detection, making a tangible impact on the safety and efficiency of maritime autonomous systems. If you're a creative thinker, a problem solver, and someone who enjoys the dynamic world of AI, MAHI is the perfect place to thrive. You will focus on the following key goals:

● Design, implement, and enhance AI & ML algorithms for object identification, classification, pose estimation, and weather identification 

● Develop and train deep learning models using real and digital twin data for challenging conditions 

● Collaborate with R&D, field engineering, and Integration and Test teams to deploy high-quality software 

What you need to succeed

● Proficiency in Python, Golang or C++/C 

● Familiarity with AI frameworks like PyTorch, TensorRT, TensorFlow, Keras… ● Fluent in English

Bonus Points 

● Experience with Linux-based OS 

● Knowledge of cloud platforms (AWS or GCP) 

● Proficiency with Docker, Git, Yocto, MLOps 

● Experience with sensors such as cameras, radars, and lidars 

● Understanding of camera processing with Gstreamer