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Engineering Manager - Data Platform (H/F)

On-site Full-time

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Experience Level

Manager

Qualifications

Qualifications:Proven experience in managing engineering teams, preferably within AI or data-centric environments. Strong understanding of data platforms, machine learning, and software engineering. Excellent leadership and communication skills to drive team success and collaboration. Ability to thrive in a fast-paced, innovative environment.

About the job

About Us
Safran. AI, formerly known as Preligens, is a subsidiary of Safran Electronics & Defense, specializing in artificial intelligence solutions for analyzing high-resolution satellite imagery, full-motion video streams, and acoustic signals. Our innovative solutions cater to the aerospace, defense, and governmental applications.
Since 2016, we have been developing complex algorithms and software that enable the automatic analysis, detection, and identification of military-relevant objects from both commercial and governmental data sources.
Following our integration into Safran in September 2024, Safran. AI also plays a pivotal role in transforming the group by applying AI solutions to Industry 4.0 domains. For instance, our automated image analysis capabilities assist inspectors in identifying potential anomalies in critical components using digital images.
At Safran. AI, innovation and the quest for a safer world are at the core of our mission. By joining us, you'll collaborate with multidisciplinary teams of passionate engineers, researchers, and developers who share a common drive for technological excellence. We foster a stimulating work environment that encourages creativity and initiative, where every idea is valued.
Your Mission, Should You Choose to Accept It
The AI Engineering team is responsible for developing and operating an internal AI production platform, essentially our very own AI Factory, utilized by Data Scientists to design, train, and deploy models at scale.
The platform, originally focused on satellite image processing, is now entering a new phase characterized by:
→ Diversification of data types (video, acoustic, factory imaging)
→ Significant growth in the number of production models
→ Increased requirements for robustness, security, and operability
→ Expansion of use cases in air-gapped environments and across multiple sites
In this context, we are evolving our approach towards a comprehensive Data Platform & ML Platform capable of supporting these diverse uses, hybrid environments, and stringent industrialization constraints.
The team comprises about twenty engineers with hybrid AI, Software, and Data profiles, organized into three squads: MLOps platform, Data platform, and Enabling & DevX.

About Safran AI

Safran. AI is at the forefront of AI innovation, dedicated to leveraging advanced technologies to enhance safety and operational efficiency across various sectors. Our commitment to excellence and teamwork distinguishes us in the industry.

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