Responsibility

• Research and implement AI/ML algorithms for intelligent manufacturing solutions, such as pattern recognition and classification, abnormality detection, optimized control and predictive maintenance
• Enhancement and maintenance of legacy AI/ML algorithms
• Perform tests and statistical analysis in order to fine tune the AI/ML solutions
• Select appropriate datasets and data representation methods
• Extend existing AI/ML libraries
• Work with the engineering team on the functional and process design, prototyping, testing, and training of AI/ML solutions

Required skills and experience

• Bachelor’s degree and 2+ years of experience applying AI/ML for practical uses
• Background in data analytics (applied statistics, data mining, machine learning, artificial intelligence)
• Experience writing robust code in Python
• Knowledge of basic AI/ML algorithms and concepts
• Knowledge of basic math, probability, and statistics

General requirements

• Great communication skills
• Self-motivated, integrity and result-oriented personality
• Teamwork, and text expression ability
• Strong analytical and problem solving attitude
• Moderate English communication skills

Preferred Qualifications

• Master’s degree in a department of Industrial Engineering, Computer Science, Mathematics or similar field
• Understanding of data structures and data modeling for the manufacturing industry, especially, time series data which is collected from sensors and manufacturing equipment.
• Knowledge of MLOps with MLFlow or Kubeflow
• Familiarity in programming languages (Java, SQL)
• Big data analytic technology
• Knowledge of AI/ML frameworks such as Keras and PyTorch
• Knowledge of AI/ML libraries such as scikit-learn