Safran.AI (ex Preligens)

2 Jobs

209 Employees

About the Company

Safran.AI (previously Preligens) is a global leader in Geospatial Artificial Intelligence for Aerospace, Defense and Governments.
The company develops AI solutions to process and exploit large data flows from seabed to space (satellite imagery, drone video streams, acoustic signals…) to support analysts in detecting and understanding events of interest.
In September 2024, Preligens became Safran.AI, a fully owned subsidiary of Safran Electronics & Defense.
Safran Electronics & Defense offers its customers on-board intelligence solutions allowing them to understand the environment, to reduce mental load and to guarantee a trajectory, even in critical situations, in all environments: on land, at sea, in the sky or space.
Safran Electronics & Defense harnesses the expertise of its 13,000 employees towards these three functions: observe, decide and guide, for the civil and military markets.

Listed Jobs

Company Name: Safran.AI (ex Preligens)
Job Title: Développeur Backend Senior (H/F)
Job Description: **Job Title:** Senior Backend Developer **Role Summary:** Lead the design, development, and maintenance of a high‑performance AI‑platform for satellite imagery and defense data analysis. Own end‑to‑end pipelines, ensuring reliability, scalability, and security while collaborating closely with product, cloud, and infrastructure teams. **Expectations:** - Deliver technically sound, maintainable code in a fast‑moving, security‑critical environment. - Mentor junior engineers and promote best practices in architecture, testing, and DevOps. - Obtain and maintain a Defence Clearance; work within classified project constraints. **Key Responsibilities:** - Architect and evolve the core backend platform using Python 3.10+. - Build and maintain automated pipelines (Airflow, CI/CD) and container orchestration (Nomad/K8s). - Design, expose, and manage REST/CLI APIs. - Implement data storage solutions with PostgreSQL and other SQL/NoSQL stacks. - Collaborate with Cloud & Infra teams to deliver secure, scalable, and highly available services. - Enforce code quality through automated testing, linting, and code review. - Coach teammates on platform tools, DevOps practices, and secure coding. - Produce technical documentation and status reports. **Required Skills:** - 7+ years of backend development experience. - Deep expertise in Python, Docker, PostgreSQL, and Orchestration (Nomad/K8s). - Proven experience with CI/CD, Prometheus/Grafana, Ansible, Terraform, and monitoring. - Strong grasp of API design (REST, CLI) and event‑driven pipelines (Airflow). - Solid understanding of secure software development, especially within Defence or regulated sectors. - Excellent organizational, communication, and leadership abilities. **Required Education & Certifications:** - Bachelor’s (or higher) degree in Computer Science, Software Engineering, or a related field. - Defence Clearance (mandatory).

Company Name: Safran.AI (ex Preligens)
Job Title: Deep Learning Scientist (H/F)
Job Description: Job Title: Deep Learning Scientist Role Summary: Develop, train, and validate AI and computer vision algorithms for industrial non‑destructive testing (ultrasound, X‑ray, tomography, optical imaging) to detect anomalies on critical components. Expectations: - Deliver production‑grade code and models meeting high performance, availability, and certification standards. - Collaborate in an agile, multidisciplinary team to iterate quickly on algorithm improvements. Key Responsibilities: - Design, implement, and train deep learning models using the internal AI framework and MLOps tools. - Integrate preprocessing, quality‑assessment, and evaluation modules into the codebase while adhering to strict quality standards. - Analyze annotated data and model predictions quantitatively and qualitatively to ensure coherence and guide refinement. - Propose innovative solutions to enhance model accuracy, robustness, and inference speed. - Build reusable tooling to accelerate future algorithm development. Required Skills: - 2+ years professional experience in AI/deep learning, primarily on image data. - Strong knowledge of deep learning architectures (CNNs, transformers, etc.) and training techniques. - Proficient in Python and experience with GPU‑accelerated frameworks (PyTorch, TensorFlow, or equivalent). - Familiarity with computer‑vision pipelines, data preprocessing, and model evaluation. - Experience in an agile development environment. - Analytical mindset, rigorous attention to detail, and creative problem‑solving ability. Required Education & Certifications: - Master’s degree or engineering degree in Software Engineering, Machine Learning, Computer Vision, or related field. - Defense security clearance (or eligibility) mandatory.