Control Systems Engineer (RDSS)

Role Purpose:

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.

Key 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.

Experiences/Education - Required:

• 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).