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Mid-level (3+ years) ML role, broad production skills, and a recognised global employer increase competition.
ML skills are transferable but mandatory industrial IoT experience increases domain specificity.
Requires MSc, 3+ years ML production experience, and industrial IoT background.
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Develop and deploy AI and data science solutions specifically for tire intelligence applications within a global team.
Perform full data science lifecycle tasks including data cleaning, visualization, feature engineering, and model benchmarking in production environments.
Collaborate with cross-functional teams to execute CI/CD workflows and provide ongoing technical support for production AI models.
Master's degree in Data Science, Mathematics, Computer Science, or related technical field.
Minimum 3 years of experience developing machine learning and advanced data analysis solutions on large datasets.
Experience in the industrial sector with IoT and sensor data.
Fluency in English.
Strong applied mathematics background in statistics, linear algebra, and optimization relevant to machine learning.
Proficient with machine learning libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch) and software engineering practices including Python, Git, CI/CD, and automated testing.
Experienced working independently and collaboratively in multi-disciplinary teams to scale AI solutions in production and cloud environments.