Responsibilities:
- Utilize technologies such as ML, deep learning, statistics and operation research, and mechanism modelling to design and analyze processes in the field of smart manufacturing, including data exploration, model construction, and algorithm selection.
- Simultaneously apply data analysis techniques to thefollowing applications: industrial inspection, defect classification, predictive maintenance, intelligent tuning, and parameter optimization.
- Creating IP Property Rights in Singapore
- Ability to establish relationships with local universities or research institutions, integrate resources, and initiate new projects.
- Establish clear technical reports and collaborate with internal cross functional teams.
- Understand the needs and issues of business group production and integrate research and development results into the production line.
Requirments:
- Experience in publishing papers related to machine learning, deep learning, or data analysis.
- Familiar with various machine learning or data analysis tools or suites: Scikit-learn, PyTorch, Tensorflow, Keras, OpenCV, etc.
- Having knowledge related to distributed computing. For example, various technologies such as Spark, Hadoop, Hive, etc.
- Bonus requirement - Experience in manufacturing practice, software development, digital twin simulation, and mechanism modelling is preferred.
- At least 1 year of relevant experience.
HOW TO APPLY:
Interested applicants, kindly send your resume in MS WORD format to [email protected] or please click on “Apply Now” and provide the below details in your resume.
- Last drawn salary
- Expected salary
- Notice period
- Reason for leaving
We regret only shortlisted candidates will be notified.
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