Research, design, implement, and deploy machine learning models and algorithms that address specific challenges and opportunities related to on-board processing in Space.
Collaborate with team members and clients across Europe to understand project requirements, objectives, and constraints.
Process and analyze datasets to extract meaningful insights and features for model development.
Design, implement, and maintain industry-standard MLOps infrastructure for new and existing ML products
Optimize and standardize ML training and validation processes, data warehousing, and pipelines.
Requirements & Skills:
Master’s or Ph.D. in Computer Science, Machine Learning, Data Science, or a related field.
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.
Strong foundation in machine learning algorithms, statistics, and data structures within relevant technical projects.
Proficiency in programming languages, frameworks, and tools, such as Python, TensorFlow, PyTorch.
Experience with data preprocessing, feature engineering, and model evaluation 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)
