Plant Digital Engineer
8 hours ago
Successfully deliver small to large-scale technical projects, managing portfolio elements and driving digital interventions to simplify/transform business processes.
- Design and implement end-to-end industrial IoT solutions, including data acquisition (industrial communication protocols e.g., Modbus, OPC UA), transmission, storage, and processing.
 - Architect, build, train, and deploy ML/AI models leveraging frameworks to solve industrial challenges; Implement and manage MLOps pipelines (e.g., MLflow, AzureML, Vertex AI).
 - Implement containerization for application and model deployment and Manage applications and infrastructure components in production environments (IT Operations).
 - Develop high-quality, maintainable software and REST APIs using Python (primary) or Java.
 - Design and optimize database solutions across various types (SQL, NoSQL) within local and cloud environments.
 - Drive office working process simplification and digitalization with business team, improve working efficiency by digital tool (RPA, GenAI Agent, Power Automate, BI Dashboarding).
 - Stay current with emerging data, AI/ML, and industrial IoT technologies and trends, evaluating their potential application.
 - Communicate complex technical concepts clearly to both technical peers and non-technical stakeholders.
 - Proactively drive value creation leveraging digital capability via understanding business needs and manufacturing process.
 
- Understanding of IT Governance, Compliance, and Risk Management.
 - Solid understanding of industrial IoT architecture, data transmission protocols, data storage types, and industrial communication protocols.
 - Extensive proficiency in programming (Python or Java) development and Proficient in at least one database language (e.g., SQL) and familiar with various database types.
 - Familiarity with working process digitalization tools (RPA, Microsoft 365, GenAI Agent, Dashboarding).
 - Familiarity with containerization (Docker, Kubernetes).
 - Practical experience with ML/AI experiment tracking tools (e.g., MLflow, VertexAI, AzureML).
 - Strong passion and practical experience with AI/ML technologies, Understanding of popular ML frameworks (TensorFlow/Keras, PyTorch, scikit-learn, XGBoost).
 - Validated, hands-on experience with Azure and/or GCP.
 - Solid grasp of Software Development concepts with a demonstrable focus on code quality, testing, and maintainability.
 - Demonstrated ability to manage portfolios, drive digital transformation, and successfully deliver medium-large projects.
 - Ability to work independently and effectively in a highly matrixed organization and Excellent communication skills.
 - Business fluent in English and Chinese.
 
Tianjin, Tianjin, Chinese Mainland - Greater China
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