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.
About the role
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).
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.
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.