You will develop AI-based perception and spatial understanding for inspection drones, combining 2D images and 3D point clouds into robust semantic representations of complex indoor environments.

I Suoi compiti

Design and implement AI models and algorithms for 2D/3D scene understanding
Combine camera and point-cloud data into consistent semantic spatial maps
Develop semantic understanding to support mapping, navigation and inspection planning
Prepare and analyze real-world drone datasets
Evaluate models using quantitative metrics, visualizations and targeted experiments
Build Python/PyTorch research and production pipelines from experimentation to deployment
Collaborate with mapping, sensors and product teams on spatial AI capabilities

Che cosa porta con sé

3+ years of experience developing machine learning or computer vision systems
Deep expertise in semantic segmentation in 2D imagery and/or 3D point clouds
Proven experience developing production-grade computer vision systems
Strong proficiency in Python and PyTorch
Strong understanding of the end-to-end ML lifecycle
Experience with real-world datasets, evaluation and systematic error analysis
Proficiency in English; French is a plus

Condizioni quadro

Grado di occupazione: 100 %
Modello di lavoro: Ibrido
Opzione di assunzione a tempo indeterminato dopo l'incarico, se entrambe le parti lo desiderano

Che cosa La aspetta

100% workload
Starting date as soon as possible
Flexible schedules with option to work remotely up to 2 days per week
3-6 months interim, then a permanent position

Tecnologie

Python
PyTorch

Come candidarsi

Si candida con il Suo profilo Try&Hire: carichi il CV, verifichi i dati, inserisca i dati principali e la disponibilità. Un breve video di presentazione è facoltativo, ma aiuta. Il nostro team La contatterà se il Suo profilo è adatto all'incarico.

Machine Learning Engineer - Spatial AI