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