Principal Technology Specialist for Smart Manufacturing and AI/ML Engineering

Official Title: Principal Technology Specialist

Annual Salary: ¥1M

Key Responsibilities

1. Smart Manufacturing & Automation System Integration

• Drive end-to-end digitalization and automation initiatives within production systems, covering robotics, machine vision (CV), and data connectivity.
• Collaborate with IT, engineering, and production teams to integrate AI/ML-driven solutions for predictive maintenance, quality control, and process optimization.
• Build and maintain automated monitoring systems and dashboards using Python, SQL, and visualization tools to enhance operational transparency.

2. AI, Machine Learning & Data Intelligence

• Explore and deploy AI/ML algorithms to improve production efficiency, defect detection, energy management, and workforce augmentation.
• Design and implement data collection pipelines, model training, and performance evaluation frameworks.
• Support experimentation with LLMs, AI agents, and digital twin technologies for manufacturing process optimization.

3. Cross-Functional Collaboration

• Act as the technical bridge across departments (IT, Process, Engineering, Production, Quality) to ensure technology adoption in real operations.
• Lead or support CFT projects related to digital transformation, automation, and advanced analytics.
• Provide structured reports, documentation, and insights to the Chairman’s Office for project tracking and decision-making.

4. Data Platform Development & Governance

• Contribute to the design of enterprise-level data platforms and ensure high data accuracy, availability, and interoperability across systems.
• Support the standardization of data interfaces, protocols, and access governance.
• Promote best practices for data-driven decision-making across teams.

Candidate Profile

Must-Have Qualifications

• Bachelor’s or Master’s degree in Computer Science, Automation, Robotics, AI, or a related STEM discipline.
• 10 years+ of experience in digital transformation, industrial automation, or AI/ML engineering.
• Hands-on experience with Python, SQL, data visualization tools (e.g., Power BI, Tableau), or industrial connectivity protocols (OPC-UA, MQTT).
• Familiarity with AI/ML frameworks (TensorFlow, PyTorch), computer vision, or robotics systems.
• Strong cross-functional communication and project coordination skills.
• Bilingual proficiency in Chinese and English.

Nice-to-Have Qualifications

• Experience in smart factory deployment, MES integration, or manufacturing system analytics.
• Exposure to LLM applications, prompt engineering, or intelligent automation tools (e.g., RPA, AI agents).
• Understanding of OT/IT convergence and industrial data architecture.

Compensation & Development

We offer a competitive compensation package, commensurate with experience and impact, including:

• Structured onboarding & mentorship
• Exposure to cutting-edge AI/automation projects
• Fast-track development path for high performers
• Housing or relocation assistance (as applicable)