Senior Manufacturing AI Engineer – Machine Learning

We are looking for a Senior Machine Learning Engineer based in Jiangmen to build and deploy AI solutions for manufacturing scenarios including predictive maintenance quality prediction and process optimization. You will work end-to-end across the ML lifecycle from data preparation to model deployment and collaborate closely with business and operations teams to bring AI into real production environments.

Key Responsibilities

• Design develop train and deploy machine learning models to support AI applications in manufacturing such as predictive maintenance quality prediction and process optimization.
• Perform data collection cleaning preprocessing and feature engineering to ensure high-quality input data for modeling.
• Conduct model selection hyperparameter tuning evaluation and continuous optimization to improve model accuracy robustness and stability in production.
• Collaborate with business stakeholders production and IT teams to understand requirements and translate them into AI solutions that can be integrated into existing systems.
• Support end-to-end MLOps practices including model deployment monitoring versioning and automated retraining using tools such as Docker and Kubernetes.
• Prepare clear technical documentation and reports and share best practices for model development and deployment within the team.

Qualifications

• Bachelors degree or above in Computer Science Applied Mathematics Data Science Statistics or a related field.
• Minimum 2 years of hands-on experience in machine learning projects preferably with end-to-end model development and deployment.
• Strong programming skills in Python and experience with mainstream ML libraries such as scikit-learn XGBoost and LightGBM; familiar with data analysis tools like Pandas NumPy and visualization libraries such as Matplotlib/Seaborn.
• Familiarity with deep learning frameworks (e.g. TensorFlow PyTorch) and solid understanding of machine learning theory including supervised and unsupervised learning time-series forecasting and model evaluation methods.
• Proficient in SQL and experienced in statistical analysis techniques (e.g. hypothesis testing regression analysis clustering).
• Understanding of MLOps concepts and tooling including containerization and model serving using Docker Kubernetes or similar platforms.
• Experience in manufacturing or industrial AI scenarios (e.g. predictive maintenance quality inspection/prediction production line optimization) is a strong plus.
• Strong problem-solving skills ability to work with cross-functional teams and willingness to be based full-time in Jiangmen.

Come join our global inclusive & diverse team

Our purpose is to improve the quality of life of everyone we touch through our innovative motion systems. We are a truly global team bound together by our shared values. Our culture is built on the diversity knowledge skills creativity and talents that each employee brings to the company. Our people are our companys most valuable asset. We are committed to providing an inclusive diverse and equitable workplace where employees of different backgrounds feel valued and respected regardless of their age gender race ethnicity or religious background. We are committed to inspiring our employees to grow act with ownership and find fulfilment and meaning in the work they do.

欢迎加入我们全球性富包容和多元化的团队

我们的目标是通过创新的驱动系统提高每一个产品接触者的生活质量我们是一个真正的全球性团队我们有着共同的价值观因而联结在一起我们的文化是建基于每一位员工为公司带来的多样性知识技能创意和才能之上我们的员工是我们企业最宝贵的资产我们致力于为员工提供一个包容多元和平等的工作场所在这里无论他们的年龄性别肤色种族或宗教信仰如何不同背景的员工都能感到受重视和尊重我们致力于激励我们的员工成长以主人翁精神行事并在他们所做的工作中找到成就感和意义