Artificial Intelligence Control Engineer

Purpose of the Position: Artificial Intelligence Control Engineer with responsibility to develop and participate on project proposing, researching, designing, developing, testing and deploying solutions for internal systems. Would participate on project teams to deploy state of the advance, effectiveness, valuable and reliable control solutions. Day to Day Responsibilities: • Provide Artificial Intelligence Control solutions to support business requirement. • Continuously develop control model and improve AI model efficiency and effectiveness •Integrate systems and technologies to deliver result into control systems and ensure real-time functionality • Work with team to develop system requirements, establish design constraints, and set priorities. • Initiate and lead AI control solution projects as appropriate to support competency and capability development to advance operational competitive advantage and build pipeline of engineering talents. • Be responsible for establishing documents, trainings and development programs/processes to enhance team’s competencies, capabilities and skills in core technologies through project assignments, trainings, coaching, seminars and conferences. Education & Experience: • Bachelor’s degree and above in Electrical Engineering, Control Engineering, Mechanical Engineering, Computer Science or Information Technology or relatives. • 2+ years of relevant experience in Artificial Intelligence manufacturing solution project, include but not limit in: - PHM(Prognostics and Health Management), machine learning, deep learning - AOI(Automated Optical Inspection), Machine/Computing Vision - AI-based Control Systems, Digital Signal Processing and Automation - Motion Control, Robotics control, System Modeling. Required Skills: • Skilled in Python, TensorFlow, or PyTorch for model training and deployment. • Skilled in C++, C#, Matlab development tools. • Proficient in machine learning and deep learning techniques applied to dynamic control systems. • Proficiency in common machine learning algorithms (e.g., SVM, random forests, YOLO). • Understanding of industrial automation processes and equipment operation principles. • Ability to integrate AI models with control systems (e.g., PLC, SCADA) seamlessly. • Knowledge of control algorithms (e.g., PID, MPC) and experience with Simulink modeling. Desired Skills: • License in Artificial Intelligence • Equipment design and basic mechanical knowledge • Electrical standards in the design of control systems • Industrial SCADA and DCS (e.g. GE iFiX, LabView) • Logic and sequencing control using HMI / PLC (Mitsubishi, Siemens or Allen Bradley) • General process understanding