Apply AI/Bigdata technology to translate manufacturing data into meaningful insights.
Deliver data analytics tools/algorithms/methodologies for engineers in different areas in Manufacturing.
Requirements
Candidates need to hold at least a Master degree in Statistics, Machine learning, Computer Science or relevant disciplines.
Experience using data analysis techniques like predictive modelling, pattern recognition/machine learning algorithms, clustering, dimensionality reduction, anomaly detection, time series analysis etc..
Must have at least one data programming language/scripting experience (e.g. Python, R, JMP, etc.) and familiar with most commonly used packages, numpy/pandas/Scikit-learn/Tensorflow/Pytorch etc.
Must be a team worker with excellent communication, presentation, and time management skills.
Excellent technical problem solving and analysis skills, ability to quickly digest complex problems
Experience with SQL, Hadoop, Spark is a plus
Experience in semiconductor industry is a plus
Demonstrated experience and ability to deliver results on multiple projects in a fast-paced, agile environment
Excellent problem-solving and interpersonal communication skills.
Tech Stack
Hadoop
Numpy
Pandas
Python
PyTorch
Scikit-Learn
Spark
SQL
Tensorflow
Benefits
Employees in the Foundry Technology Manufacturing are part of a worldwide factory network that designs, develops, manufactures, and assembly/test packages the compute devices to improve the lives of every person on Earth.