





Mid-level ML role with broad required skillset and known global brand increases applicant competition.
Requires ML engineering and industrial IoT experience, limiting transferability across industries.
Explicit MSc, 3+ years, industrial IoT experience and mandatory ML stack skills.
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Develop and deploy production-level machine learning and AI solutions on large datasets.
Work with IoT and sensor data primarily in industrial sector applications.
Contribute both independently and collaboratively to data science projects involving advanced data analysis and machine learning.
M.Sc. in Data Science, Mathematics, Computer Science, or related technical field.
Minimum 3 years of experience in machine learning and advanced data analysis on large datasets.
At least one experience in the industrial sector involving IoT and sensor data.
Proficiency in Python, machine learning libraries (TensorFlow, PyTorch, Scikit-learn, etc.), software engineering tools (Git, CI/CD), cloud platforms, and databases.
Strong applied mathematics background with expertise in statistics, linear algebra, and optimization.
Experience deploying scalable AI and data fusion solutions in production environments.
Ability to independently handle complex ML engineering tasks and integrate within collaborative teams in industrial settings.