Computer Vision Engineer

hace 3 semanas

Madrid, Madrid, España Deimos Space A tiempo completo

About Deimos Space

Deimos Space is a leading provider of innovative solutions for the space industry. Our team of experts is dedicated to pushing the boundaries of what is possible in space exploration and development.

Job Summary

We are seeking a highly skilled Computer Vision Engineer to join our team at Deimos Space. As a key member of our Artificial Intelligence and Computer Vision (AICV) Competence Centre, you will play a critical role in researching, developing, and deploying cutting-edge Machine Learning and Computer Vision solutions for onboard processing applications in space.

Key Responsibilities

  • Research and design advanced Computer Vision and Machine Learning algorithms to address specific challenges and opportunities related to onboard processing in space.
  • Collaborate with cross-functional teams 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 large datasets to extract meaningful insights and features.
  • Design, implement, and maintain industry-standard infrastructure for new and existing Computer Vision products.

Requirements

  • 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.

Desirable Skills

  • 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).

Language Skills

Good level of English, spoken and written. Any other languages would be considered an asset.

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