Johnson Electric
Machine Learning Engineer
China · Work style not stated · Full time
Posted over 6 months ago: check it’s still open
Apply on the employer’s site ↗See how well you match this job
You apply directly with the employer. ROLIVA does not submit applications from this page and is not the employer.
About the role
Description from the employer’s posting. Check the employer’s page for the current version.
- EmployerJohnson Electric
- LocationChina
- Work styleWork style not stated
- Employment typeFull time
- Employer posted
Johnson Electric is one of the world’s largest providers of motion solutions, supplying nearly every major brand in automotive, industrial, and consumer markets. Our Smart Factory initiative leverages advanced analytics, AI and IIoT to drive zero-defect quality, lights-out manufacturing, and sustainable operations across 30+ plants on five continents.
You will be joining a high-impact, hands-on CoE team that owns the full analytical stack: from edge data acquisition and cloud ingestion to model deployment and smart factory adoption.
Accelerate delivery of production-grade AI use-cases. You will prototype, train, and deploy models (classical as well as deep learning) on top of Cloud services and ensure they stay reliable at scale.
Key Responsibilities
Use-Case Delivery
- Translate business problems into ML tasks: predictive maintenance, image segmentation and classification, price quotation and forecasting, etc.
- Build data pipelines (PySpark, Synapse, Databricks) and feature engineering workflows.
- Train, fine-tune, and evaluate ML models (scikit-learn, XGBoost, PyTorch, TensorFlow) following experiment-tracking standards (MLflow).
Show full description
Model Deployment & Lifecycle Management
- Containerize models; Deploy to AKS/edge devices via automated CI/CD pipelines (AML pipelines, Azure DevOps).
- Establish monitoring suite (Prometheus, Grafana, PromptFlow) for model, and data drift.
- Apply best-practice MLOps patterns: provenance, reproducibility, automated retraining, and rollback strategies.
Collaboration & Agile Delivery
- Co-create user stories with product owners, size tasks, and deliver incremental value in sprints.
- Produce clean, test-covered, well-documented code; participate in peer reviews.
- Conduct workshops and demos to upskill factory engineers & operators.
Qualifications
- 3 – 5 years hands-on experience in ML engineering or data science deploying models to production.
- Solid foundation in traditional ML, statistics, and experimentation (p-values, A/B, power analysis).
- Solid Python programming; experience with unit/integration testing frameworks (pytest).
- Practical knowledge of containerization (Docker) and at least basic Kubernetes concepts (pods, services, config-maps, secrets).
- Familiarity with Azure ML or comparable cloud ML services.
- Familiarity with Generative frameworks like LangChain, LlamaIndex etc to implement Agentic Flows
- Understanding CI/CD & IaC workflows (Git, GitHub Actions or Azure DevOps, Terraform/Bicep).
- Strong communication skills, curiosity to learn manufacturing processes, and bias for hands-on problem solving.
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。
Check your resume against this job Free, no sign-up. Nothing you paste is stored.
Staying safe while you apply
- Never pay to apply, interview or accept an offer. ROLIVA never asks you for payment to apply to a job.
- Apply only through the official “Apply on the employer’s site” button, on the employer’s own site, and check that a recruiter’s email uses that employer’s own domain rather than a free email address.
- Be cautious of an offer made with no real interview, or pressure to decide quickly or share financial details early.
Does something look wrong with this listing? Use “Report broken link” in the role details, or read ROLIVA’s full job-safety guidance ↗.
Preparing for this role with ROLIVA
- Check the fit.
Compare the requirements with the experience you have confirmed, including gaps.
- Prepare honestly.
Build interview stories and application drafts from your own evidence.
- Keep track.
Save the role and record your own application status and follow-ups.
Machine learning engineer jobs in China
ROLIVA currently lists 14 open roles like this in China.
Employers hiring for this
- Optiver3 open roles
- Unitytech3 open roles
- Airbnb2 open roles
- Altera2 open roles
- Johnson Electric2 open roles
Top skills asked for
Listings whose description mentions each term. A mention is not a requirement.
- Machine learning9 postings
- Python8 postings
- LLM6 postings
- PyTorch4 postings
- Azure3 postings
- Kubernetes3 postings
- Docker2 postings
- Terraform2 postings
At a glance
- Employment typeFull time
- Employer posted
- Added to ROLIVA
- Last checked
Skills in this posting
Skills ROLIVA found in the employer’s own description above. A mention is not a requirement.
Python Azure Kubernetes Docker Terraform Agile PyTorch TensorFlow