Safran.AI (formerly Preligens) is a global leader in geospatial artificial intelligence for aerospace, defense, and government. The company specializes in developing AI solutions to process large data flows from seabed to space, supporting analysts in detecting and understanding critical events. As a subsidiary of Safran Electronics & Defense, the company offers on-board intelligence solutions that enable real-time environmental analysis, decision-making, and guidance across various environments.
Open Positions
Senior Fullstack Développeur - Rennes ou Paris (H/F)
10+ years of Fullstack development experience, good Python, JS/CSS, Docker, and database skills, and experience with REST APIs and CLIs
Ingénieur Système Linux & Réseau - HPC (H/F)
5-8 years of experience in HPC, in-depth knowledge of Linux, and experience with HPC schedulers and distributed storage
Stage - Deep Learning Scientist (H/F)
Develop deep learning models, design technical visions, and develop MLOps tools
Sales Manager APAC (H/F)
Master in Marketing, Sales or Engineering; 5+ years of experience in B2B/B2G sales; Strong communication and negotiation skills
Ingénieur Système Linux (H/F)
Experience in automation, containerization, and orchestration. Linux system administration skills. Ability to obtain a Defense clearance
Sales France (H/F)
5+ years of sales and business development experience, Master's degree in marketing, sales, engineering, or a relevant field, significant experience in the defense field and knowledge of French procurement procedures and institutions
QA Automation Engineer (H/F)
At least 5 years of experience, solid skills in Python, Docker, and data engineering, and excellent organizational skills
Ingénieur Traitement d’Image et Intelligence Artificielle (H/F)
Develop image processing algorithms, integrate into systems, and support data scientists in improving models and video chains. 1-2 years of experience in Python, PyTorch, C++, and OpenCV.
QA Automation Engineer (H/F)
At least 5 years of experience in test automation and quality assurance, solid skills in Python, Docker, and databases, and excellent organizational and relational skills
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