Johnson Electric Machine Learning Engineer 

China, Guangdong Province, Jiangmen 

831364011

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.

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).

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.

• 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.