Facility AI Engineer

Job Description :

1.Participate in I&C product deployment, maintenance, and optimization.

2.Implement AIoT technologies to optimize FAC engineers' workflows, focusing on energy saving, labor efficiency, cost reduction, and decision-making quality improvement.

Communicate with various functional teams (including global teams) to understand requirements and domain knowledge, collaborate on developing and validating methodologies/systems, and deliver complete AIoT solutions to end users.

Requirement

1.Master’s degree or higher in Computer Science, Data Science, Machine Learning, Mechanical Engineering, Electrical Engineering, or related fields.

2.Solid knowledge of machine learning and advanced analytical methods, with a proactive attitude toward learning and applying cutting-edge technologies.

3.Strong project management and coordination skills, including planning, execution, and cross-functional communication.

Proficient in Chinese and English communication (listening, speaking, reading, and writing).

Skill Set

1.Proficient in Python or C/C++, with experience in AI development.

2.Skilled in machine learning and deep learning frameworks (such as TensorFlow, PyTorch), capable of designing, training, and optimizing AI models.

3.Experienced in deploying AI models to devices (such as edge devices or embedded systems) or cloud platforms (such as AWS, Azure, Google Cloud).

4.Experienced in using databases (such as SQL, NoSQL, or time-series databases).

5.Familiar with microcontrollers (such as Raspberry Pi, ESP32), capable of supporting AI model integration. (Nice-to-have)

Proficient in version control tools (such as Git), with experience in code management and maintenance. (Nice-to-have)

AI Relevant Job Responsibilities:  

- Integrates AI-assisted tools and insights into daily work to improve efficiency, quality, or effectiveness, exercising sound judgment and complying with organizational standards and legal requirements. 

- Contributes to a culture of continuous improvement by identifying, testing, and sharing AI-enabled enhancements within one’s scope of work.  

- Ability to apply baseline digital fluency and role‑appropriate AI literacy to use AI‑enabled tools responsibly and effectively for research, analysis, content creation, problem‑solving, operational tasks, and achieving business