Not specified (assumed to be hybrid or onsite given the context)
3-5 years ml engineering experience
Python programming with pytest
Docker containerization and kubernetes
Johnson Electric is seeking a Machine Learning Engineer to join their Center of Excellence team, focusing on deploying AI solutions in their Smart Factory initiative. The ideal candidate will have hands-on experience in machine learning engineering, strong programming skills in Python, and familiarity with cloud services and containerization
Job Summary
Johnson Electric leverages advanced analytics, AI, and IIoT to drive zero-defect quality and sustainable operations across 30+ plants globally.
The role involves translating business problems into ML tasks such as predictive maintenance, image segmentation, and forecasting while deploying models to production.
Candidates will collaborate in an inclusive global team to upskill factory engineers and deliver incremental value through Agile sprints.
Matching Summary
Match Score: 85
Johnson Electric is seeking a Machine Learning Engineer to join their Center of Excellence team, focusing on deploying AI solutions in their Smart Factory initiative. The ideal candidate will have hands-on experience in machine learning engineering, strong programming skills in Python, and familiarity with cloud services and containerization.
Skills & Requirements
Must-have
3-5 years ML engineering experience
Python programming with pytest
Docker containerization and Kubernetes
Azure ML or cloud ML services
CI/CD pipelines and Git workflows
PySpark, Synapse, Databricks data pipelines
MLflow experiment tracking
Nice-to-have
Generative AI frameworks like LangChain
LlamaIndex for Agentic Flows
Terraform or Bicep IaC workflows
Prometheus and Grafana monitoring
Hands-on problem-solving bias
Workshop facilitation skills
Key Requirements
3-5 years hands-on ML engineering experience
Solid foundation in traditional ML and statistics
Experience with unit/integration testing frameworks