Machine Learning Engineer
hace 2 días
.DEIMOS is looking for an engineer to join the Artificial Intelligence and Computer Vision (AICV) Competence Centre of the Avionics Business Unit, within the Flight Systems Directorate.
This role focuses on supporting Deimos' AICV flight systems team in researching, developing, deploying, and scaling our Machine Learning and Computer Vision portfolio for onboard processing applications in Space.
You will work on in-space Machine Learning projects and products throughout their lifecycle – from early-phase R&D activities to productization and deployment.
Location: Selected candidates will have the option to work in any of the following Deimos sites they are legally entitled to work in.
Harwell (UK) Madrid (Spain) Lisbon (Portugal) Bucharest (Romania) Duties: The main responsibilities are: Research, design, implement, and deploy 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 Machine Learning products.
Optimize and standardize ML training and validation processes, data warehousing and pipelines Education: Bachelor's, Master's, or Ph.D. in Computer Science, Engineering, Machine Learning, Data Science, Physics, or a related fields.
Professional Experience: The position will be tailored to the level of experience; practical industry experience deploying and maintaining ML systems in production would be viewed very positively.
Technical Requirements: Required: Strong foundation in machine learning algorithms, statistics, and data structures within relevant technical projects.
Proficiency in programming languages and frameworks such as Python, C++, MATLAB, OpenCV, TensorFlow, Pytorch, scikit-image, and dlib.
Experience with data preprocessing, feature engineering, and model evaluation techniques.
Knowledge of software development life cycle and agile methodologies.
A basic understanding of Machine Learning.
Highly Desirable: Understanding of Computer Vision techniques.
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
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