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
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Design, develop, train, and deploy machine learning models to support AI applications in manufacturing, such as predictive maintenance, quality prediction, and process optimization.
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Perform data collection, cleaning, preprocessing, and feature engineering to ensure high-quality input data for modeling.
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Conduct model selection, hyperparameter tuning, evaluation, and continuous optimization to improve model accuracy, robustness, and stability in production.
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Collaborate with business stakeholders, production, and IT teams to understand requirements and translate them into AI solutions that can be integrated into existing systems.
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Support end-to-end MLOps practices, including model deployment, monitoring, versioning, and automated retraining using tools such as Docker and Kubernetes.
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Prepare clear technical documentation and reports, and share best practices for model development and deployment within the team.
Qualifications
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Bachelor’s degree or above in Computer Science, Applied Mathematics, Data Science, Statistics, or a related field.
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Minimum 2 years of hands-on experience in machine learning projects, preferably with end-to-end model development and deployment.
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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.
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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.
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Proficient in SQL and experienced in statistical analysis techniques (e.g., hypothesis testing, regression analysis, clustering).
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Understanding of MLOps concepts and tooling, including containerization and model serving using Docker, Kubernetes, or similar platforms.
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Experience in manufacturing or industrial AI scenarios (e.g., predictive maintenance, quality inspection/prediction, production line optimization) is a strong plus.
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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 company’s 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。
