Job Description:
- Ability to use Machine Learning, statistics and operation research as well as mechanism modelling to design and analyze the process of intelligent manufacturing not excluding data mining, model building and algorithm selection
- Simultaneously apply data analysis technology to the following applications: industrial inspection, defect classification, predictive maintenance, intelligent tuning, and parameter optimization
- Ability to create clear technical reports and conduct presentations to management as well as teams
- Able to create new IPs in Singapore in area of experitise
- Able to constantly improve Company's manufacturing processes
- Willing to support overseas process development for short-term assignments
Job Requirements:
- Masters in either Mechanical Engineering, Information engineering or Mathematics and statistics
- Experience in publishing papers related to machine learning, deep learning or data analysis
- Familiar with variety of machine learning or data analysis tools or suites: e.g Scikit-learn, PyTorch, Tensorflow, Keras, OpenCV
- Possess relevant knowledge of distributed computing such as Spark, Hadoop, Hive and other technologies
- Candidates with experience in any of the below will be of advantaged:
- Manufacturing practice
- Software development
- Digital twin simulation
- Mechanism model building
