Qualifications

• Strong foundation in Computer Science and Algorithms relevant to large-scale data processing and model deployment.
• Expertise in Pattern Recognition and Neural Networks for building and refining predictive models.
• Solid understanding of Statistics for model evaluation, experimental design, and data quality assessment.
• Proficiency with modern machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and Python or similar languages.
• Experience deploying ML models to production (e.g., APIs, microservices, cloud platforms) and working with version control and CI/CD.
• Ability to work effectively in a hybrid environment in Berlin, Germany, collaborating with multidisciplinary teams.
• Advanced degree in Computer Science, Data Science, Machine Learning, or a related field, or equivalent practical experience.
• Experience with time-series or sensor data, especially in industrial or agricultural contexts, is a pl
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