What we’re looking for The day-to-day You should apply if you Nice to haves What we offer
About the role
What we’re looking for
The day-to-day
Requirements definition: define clear objectives, interfaces, datasets, and release standards for deep learning tasks such as detection, segmentation, and depth
Data strategy: drive real-world and synthetic data collection campaigns covering edge cases, rare conditions, and class imbalance
Dataset integrity: build trusted, versioned, auditable datasets, maintaining lineage and preventing leakage across every model release
Model performance: develop, train, and benchmark detection, segmentation, and depth-estimation models for aerial imagery
Evaluation rigor: set a high bar for evaluation and failure analysis across range, altitude, illumination, and weather conditions
MLOps ownership: build and operate the end-to-end pipeline for versioning, reproducible training, experiment tracking, and CI/CD
Deliver production-ready model artifacts. Export and optimize models for ONNX and TensorRT, validate accuracy and runtime performance.
You should apply if you
Computer vision depth: you have a deep understanding of CNN- and transformer-based architectures, training dynamics, and evaluation, with hands-on PyTorch experience
Dataset discipline: you're experienced building representative dataset splits, validating annotations, and conducting detailed failure analysis
MLOps experience: you have end-to-end production MLOps ownership, including experiment tracking, versioning, and CI/CD
Software engineering: you write clean, tested, maintainable code and make sound performance and algorithmic trade-offs
Track record: you bring 3+ years building and shipping computer-vision or ML systems with ownership across data, training, and evaluation
Education: you hold a degree in computer science, machine learning, or a related field – or equivalent hands-on experience that speaks louder than the diplom
Nice to haves
Aerial vision: experience with drone imagery, small-object detection, or low-light and low-resolution data
Simulation expertise: hands-on experience with NVIDIA Isaac Sim, Omniverse, or other synthetic-data workflows
Inference optimization: experience exporting and optimizing models with ONNX and TensorRT on NVIDIA Jetson hardware
What we offer
Real impact & ownership: Shape high-tech defense systems and take responsibility from day one.
Mission-driven environment: Work on technologies that matter for European security and sovereignty.
Competitive package: Competitive salary, EGYM Wellpass , corporate benefits, and equity options aligned with role and level.
Deep tech environment: Get hands-on experience with cutting-edge drone technology and real operational use cases.
Grow fast: Steep learning curve for juniors, strategic influence and leadership opportunities for seniors.