Computer Vision Engineer
hace 3 semanas
Deimos Space is seeking a highly skilled Computer Vision Engineer to join our Artificial Intelligence and Computer Vision (AICV) Competence Centre. As a key member of our team, you will be responsible for researching, developing, deploying, and scaling our Machine Learning and Computer Vision portfolio for onboard processing applications in Space.
Key Responsibilities- Design, implement, and deploy Computer Vision and/or Machine Learning algorithms that address specific challenges and opportunities related to onboard processing in Space.
- Collaborate with team members and clients across Europe to understand project requirements, objectives, and constraints.
- Integrate and collaborate closely with other Computer Vision and Machine Learning engineers for Agile algorithm and product development.
- Process and analyze datasets to extract meaningful insights and features.
- Design, implement, and maintain industry-standard infrastructure for new and existing Computer Vision products.
- Bachelor's, Master's, or Ph.D. in Computer Science, Engineering, Machine Learning, Data Science, Physics, or a related field.
- Strong foundation in image processing and computer vision techniques, such as filtering, edge detection, and segmentation, with relevant technical project experience.
- Proficiency in programming languages and frameworks such as Python, C++, MATLAB, OpenCV, scikit-image, and dlib.
- Proficiency in algorithms and data structures.
- Knowledge of software development life cycle and agile methodologies.
- A basic understanding of Machine Learning.
- Good understanding of Machine Learning concepts and frameworks such as TensorFlow, PyTorch, and Keras.
- Experience working on aerospace-related projects.
- Experience deploying MLOps solutions and working within CI/CD frameworks.
- Experience with Linux systems and cloud infrastructure (AWS, Azure, etc.).
- Experience developing embedded ML applications (C++, CUDA, TensorRT).
Good level of English, spoken and written. Any other languages would be considered an asset.
Personal Skills- Capability to integrate in and work within a trans-European team.
- Solid organisational, analytical and reporting skills.
- Autonomy and willingness to take initiative.
- Excellent communication skills.
- Energetic, positive team player mentality.
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