Machine Learning Engineer
Machine Learning Engineer
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Job Description
Johnson Electric is one of the worlds 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).
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 companys 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.
Employment Type
Full-Time
