Senior Computer Vision Engineer

Sthenos AI is the AI developer of EFA Group, building intelligent, mission-ready solutions for defense and aerospace. With deep expertise in Command-and-Control (C2), cyber defense, computer vision, and autonomous systems, we design and deploy secure, field-proven AI that enhances operational efficiency and situational awareness. As part of a leading European defense ecosystem, we bring scalable innovation where it matters most — in the theater of operations. Your Tasks As a Senior Computer Vision Engineer (f/m/d), you will play a leading role in the design and implementation of cutting-edge computer vision systems that power intelligent defense applications. Working in a dynamic cross-functional team of data scientists, ML engineers, and Site Reliability Engineers, you will drive the technical direction of AI-based perception solutions from concept to deployment. You design, develop, and optimize advanced deep learning models for computer vision, leveraging the cloud-native Sthenos platform. You lead experimentation with state-of-the-art vision architectures such as YOLO, Faster R-CNN, DETR, or transformer-based models, and evaluate their applicability to real-world defense scenarios. You mentor and guide junior engineers and data scientists, providing technical direction, code reviews, and best practices for model development and deployment. You take ownership of end-to-end model lifecycles — from data exploration and training to large-scale evaluation, integration, and performance monitoring in production environments. You collaborate with other ML engineers to define data collection, curation, and annotation strategies, ensuring datasets are optimized for training and validation. You explore reinforcement learning and simulation-based training methods to enhance visual perception and decision-making systems. You stay up to date with the latest advancements in computer vision, deep learning, and distributed AI, and actively contribute to shaping the AI strategy of the organization. You represent Sthenos in external conferences and meetups, sharing your team’s achievements and helping establish thought leadership in AI-driven defense systems. Your Skills Undergraduate or graduate degree in Computer Science, Artificial Intelligence, Electrical Engineering, or a related quantitative field 3+ years of professional experience in computer vision, machine learning, or deep learning model development Expertise in PyTorch, with a strong track record of training and deploying production-grade vision models Hands-on experience with modern object detection and segmentation frameworks (e.g. YOLO, Faster R-CNN, DETR) Solid understanding of reinforcement learning principles and experience applying them to vision or autonomous systems is a strong plus Experience with distributed training and large-scale compute frameworks, preferably Ray, is a plus First experience with the methods of explainability and synthetic data generation for the sake of improving the performance of vision models. Proficiency in Python and its data and ML ecosystem (NumPy, Pandas, OpenCV, etc.) Demonstrated experience with AI productization — from experimental prototyping to operational deployment and performance optimization Ability to independently identify opportunities for innovation and translate them into actionable projects Proven track record of cross-functional collaboration and technical leadership within agile teams Your Competencies Visionary and strategic thinker with a hands-on approach to execution Excellent analytical and problem-solving skills, capable of structuring and simplifying complex challenges Comfortable operating in ambiguous, fast-evolving environments, defining clarity and next steps when options are many Strong communication and mentoring skills, fostering collaboration across technical and non-technical stakeholders You understand the importance of the team and inspire, support, and elevate those around you Fluent in English We offer: Competitive remuneration package Ticket vouchers and/or gas expense Private medical insurance package Continuous learning & development opportunities Participation in cultural and team-building activities Exposure to a growing environment with cutting-edge technologies Corporate wellness initiatives