Role Description The Senior Machine Learning Engineer will design, develop, and deploy machine learning models to support AVEOSSOLUTION UAE’s aviation training and consultancy offerings. This part-time, hybrid role is based in Berlin, Germany, with flexibility for some work from home. Day-to-day responsibilities include researching and implementing pattern recognition and neural network solutions, building and optimizing algorithms for data-driven insights, and collaborating with cross-functional stakeholders to translate business needs into technical requirements. The role also involves evaluating model performance using statistical methods, ensuring data quality, documenting system architecture, and mentoring team members on machine learning best practices and tools relevant to the aviation domain.QualificationsCandidates should possess strong expertise in Computer Science and Algorithms, including data structures, complexity analysis, and software engineering fundamentals.Candidates should possess advanced skills in Neural Networks and Pattern Recognition for designing and training models on complex, real-world datasets.Candidates should possess solid knowledge of Statistics to evaluate models, perform hypothesis testing, and ensure robust, reliable outcomes.Candidates should possess proficiency in modern machine learning frameworks and tools (e.g., Python, TensorFlow/PyTorch, scikit-learn) and experience with data processing pipelines.Relevant qualifications include a bachelor’s or master’s degree in Computer Science, Data Science, Engineering, or a related field, or equivalent practical experience.Beneficial qualifications include experience with MLOps practices, cloud platforms, and applying machine learning in aviation or other safety-critical industries.Strong analytical thinking, clear communication skills, and the ability to work effectively in a hybrid, international team environment are essential.

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