A minimum of 5 years of experience with AI
A Bachelor's degree in Data Science, Engineering, Science, Computer Science or Mathematics is required
Several years of professional experience applying machine learning, artificial intelligence, advanced statistics, and data science to real-world engineering or manufacturing problems.
Experience with SQL and modern data-processing or data-platform technologies.
Strong knowledge of statistical methods, experimental design, regression, classification, clustering, anomaly detection, and model evaluation.
Programming skills in Python and experience with common data-science and machine-learning libraries.
Experience in AI/ML model deployment through RESTful APIs, containerization, and container orchestration.
Experience working with structured, time-series, sensor, or high-volume manufacturing data.
Sitting or standing several hours per day
Extensive keyboard and mouse work
