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Safran.AI - De l'IA qui opère dans le réel Filiale de Safran Electronics & Defense, Safran.AI conçoit des solutions d'IA appliquées à des données complexes telles que les images satellite haute résolution,…
Product manager for Safran.AI's AI Flow software line, turning user and business needs into specs, a prioritized backlog, and a product roadmap while partnering with AI/software engineering and commercial teams. Focus on AI detection/orchestration products for defense and industry, leveraging computer vision, generative AI tooling (Claude Code), and Figma prototyping.
Senior Deep Learning Scientist on Safran.AI's IMINT team in Paris, developing, training, and productionizing deep learning models that detect and classify objects (aircraft, ships, vehicles) in satellite imagery (optical, IR, SAR). Day to day: Python-based model development with an internal AI framework and MLOps tooling, plus mentoring juniors and evolving the team's technical stack.
Engineering Manager building and leading a brand-new frontend team at Safran.AI, which makes AI products for defense/intelligence (satellite imagery, video, acoustics). Day to day: managing developers, owning front-end architecture and a shared component layer, and shipping UIs with TypeScript/React (TanStack, shadcn/ui) over Python backends.
Senior backend engineer at Safran.AI in Paris, working on a 7-person team to maintain and scale backend services and automated data pipelines for AI products that analyze satellite imagery, video, and acoustic signals for defense and industry. Core stack: Python/FastAPI, Airflow, PostgreSQL, plus JavaScript/React web apps.
Site Reliability Engineer on the cloud & infrastructure platform team, building and maintaining the technical foundation (AWS/OVH, Kubernetes, Terraform/Ansible, CI/CD, monitoring) used by internal developers and deployment teams, with a focus on reliability, security, and on-premise/air-gapped deployments.
The AI Product Manager defines the strategy and roadmap for high-performance AI solutions, collaborating with engineering and commercial teams to deliver value in defense and industrial sectors. The role involves managing the product lifecycle, defining KPIs, and ensuring alignment with business goals using tools like Jira and Notion.
Designs and communicates AI solution architectures for defense, aerospace, and industry 4.0 clients, bridging technical and business needs with Python, Kubernetes, and cloud tools.
Build and maintain modern web interfaces for AI-powered analytics platforms used in defense, aerospace, and industrial inspection, using React, TypeScript, and Python.
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