The Candidate will have a minimum of 5 years of experience with AI, preferably including ML, preferably with experience in statistical analytic techniques.
A Bachelor's degree in Data Science, Engineering, Science, Computer Science or Mathematics is required
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.
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.
Experience in AI/ML model deployment through RESTful APIs, containerization, and container orchestration.
Experience with cloud-based ML training and inference using AWS, GCP, Azure, or Databricks is a plus.
Experience working with structured, time-series, sensor, or high-volume manufacturing data.
Exposure to wafer fabrication, photonics, and telecommunications is a plus.
Ability to work collaboratively with domain experts and explain complex analytical results in practical engineering terms.
Demonstrated ability to take an analysis from problem definition through deployment, validation, and communication of results.