Machine Learning Engineer
Job Description
Johnson Electric, a global leader in motion solutions with over 35,000 employees across 22 countries, is seeking a Machine Learning Engineer to join their Smart Factory initiative. This role is part of a high-impact CoE team that leverages advanced analytics, AI, and IIoT to drive zero-defect quality and lights-out manufacturing across 30+ plants globally.
The position offers an exciting opportunity to work on production-grade AI use-cases, from edge data acquisition to model deployment. You'll be responsible for developing and implementing machine learning solutions for predictive maintenance, image processing, and forecasting, while working with cutting-edge technologies including PyTorch, TensorFlow, and cloud services.
The ideal candidate will have 3-5 years of hands-on ML engineering experience, strong Python programming skills, and expertise in MLOps practices. You'll be working in an inclusive, diverse environment that values innovation and professional growth, contributing to Johnson Electric's mission of improving quality of life through innovative motion systems.
This role combines technical expertise with business impact, offering the opportunity to work with a global team and directly influence manufacturing processes across multiple industries. The position requires both strong technical skills and the ability to collaborate effectively with stakeholders at all levels.
Responsibilities For Machine Learning Engineer
- Translate business problems into ML tasks including predictive maintenance, image segmentation and classification, price quotation and forecasting
- Build data pipelines using PySpark, Synapse, Databricks and feature engineering workflows
- Train, fine-tune, and evaluate ML models using scikit-learn, XGBoost, PyTorch, TensorFlow
- Containerize models and deploy to AKS/edge devices via automated CI/CD pipelines
- Establish monitoring suite for model and data drift
- Implement MLOps patterns including provenance, reproducibility, automated retraining
- Collaborate with product owners and deliver value in sprints
- Produce clean, test-covered, well-documented code
- Conduct workshops to upskill factory engineers & operators
Requirements For Machine Learning Engineer
- 3-5 years hands-on experience in ML engineering or data science deploying models to production
- Solid foundation in traditional ML, statistics, and experimentation
- Solid Python programming; experience with unit/integration testing frameworks
- Practical knowledge of containerization (Docker) and basic Kubernetes concepts
- Familiarity with Azure ML or comparable cloud ML services
- Familiarity with Generative frameworks like LangChain, LlamaIndex
- Understanding CI/CD & IaC workflows
- Strong communication skills and hands-on problem solving ability
Benefits For Machine Learning Engineer
- Global, inclusive & diverse team environment
- Career growth opportunities
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