AI Computer Vision applied to EO data

Job Description:

Leonardo is a global industrial group, among the main global players in Aerospace, Defence and Security that realises multi-domain technological capabilities in Helicopters, Aircraft, Aerostructures, Electronics, Cyber Security and Space. With over 60,000 employees worldwide, the company has a solid industrial presence in Italy, the UK, Poland and the US. It also operates in 150 countries through subsidiaries, joint ventures and investments. A key player in major international strategic programmes, it is a technological and industrial partner of governments, defence administrations, institutions and companies.

Inside Leonardo Space Division we are looking for a AI Computer Vision applied to EO data based in Roma plant.

Job Responsibilities:

Design data processing pipelines and single processing modules focused on AI (Computer Vision) applied to Remote Sensing data;

Analyse, evaluate and implement applications focusing on AI (Computer Vision) applied to Remote Sensing data;

Draft/review technical documentation and presentations;Education:

Bachelor or Master Degree in Engineering / Software Engineering / Mathematics / Physics or related field/experience

SeniorityPreference will be given to candidates holding a PhD0/1+ years, Master Thesis on subjects like those in following listKey Competencies:

Experience in processing remote sensing data (e.g. SAR, optical, hyperspectral) and applying computer vision techniques;

Experience in deep learning frameworks (TensorFlow, PyTorch) for object detection, segmentation, and anomaly analysis;

Experience in integrating geospatial libraries (GDAL, QGIS) with AI pipelines for enhanced spatial data insights;

Programming abilities in Python for developing processing chains an modules

Soft skills:

Team working

Time management and organization

Adaptability

Goal and Customer orientation

Problem solving

Proactivity

Language skill:

English (high level)

Seniority:

Junior

Primary Location:

IT - Roma - Via Tiburtina, 965

Contract Type:

Fixed term

Hybrid Working:

Hybrid