Beschreibung
Senior Machine Learning Engineer / IT Developer–Integrator (AI, Sensor Fusion, MLOps)
Hybrid | 30% Onsite in Germany | ? Full-time (Part-time min. 70% also welcome)
Project Duration: 01.09.2025 – 31.08.2026
Are you passionate about building AI systems that make a real-world impact? Do you have a strong track record in machine learning, sensor data processing, and operational integration? Join a cutting-edge innovation project focused on developing AI-powered pipelines for defense and intelligence applications!
? What You’ll Do:
Design, train, and optimize ML models for:
Multi-sensor data fusion (SAR, EO, SigInt)
Object detection, change detection & predictive analytics
Build scalable, cloud-native AI pipelines
Integrate solutions into real-time production systems
Apply MLOps best practices (CI/CD, containerization, monitoring)
Collaborate closely with platform and product teams
? What You Bring:
Deep experience in machine learning / deep learning using PyTorch or TensorFlow
Strong Python skills, especially for geodata processing
Hands-on with computer vision, SAR/EO/SigInt data
Proven MLOps experience using Docker/Podman, Kubernetes, AWS/GCP
Must be a resident in Germany with German citizenship
Fluent in German (project language), English skills desirable
? Bonus Points For:
Experience in GEOINT/IMINT
Familiarity with OGC standards
Hybrid | 30% Onsite in Germany | ? Full-time (Part-time min. 70% also welcome)
Project Duration: 01.09.2025 – 31.08.2026
Are you passionate about building AI systems that make a real-world impact? Do you have a strong track record in machine learning, sensor data processing, and operational integration? Join a cutting-edge innovation project focused on developing AI-powered pipelines for defense and intelligence applications!
? What You’ll Do:
Design, train, and optimize ML models for:
Multi-sensor data fusion (SAR, EO, SigInt)
Object detection, change detection & predictive analytics
Build scalable, cloud-native AI pipelines
Integrate solutions into real-time production systems
Apply MLOps best practices (CI/CD, containerization, monitoring)
Collaborate closely with platform and product teams
? What You Bring:
Deep experience in machine learning / deep learning using PyTorch or TensorFlow
Strong Python skills, especially for geodata processing
Hands-on with computer vision, SAR/EO/SigInt data
Proven MLOps experience using Docker/Podman, Kubernetes, AWS/GCP
Must be a resident in Germany with German citizenship
Fluent in German (project language), English skills desirable
? Bonus Points For:
Experience in GEOINT/IMINT
Familiarity with OGC standards