Machine Learning Engineer
Description For Machine Learning Engineer
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 Center of Excellence team that manages the complete analytical stack, from edge data acquisition to model deployment. The position focuses on delivering production-grade AI use-cases, leveraging advanced analytics and IIoT to achieve zero-defect quality and sustainable manufacturing operations across 30+ global plants.
The ideal candidate will work on cutting-edge ML applications in manufacturing, including predictive maintenance, computer vision, and forecasting. You'll be responsible for building robust data pipelines, training and deploying ML models, and establishing MLOps practices. The role offers a unique opportunity to impact manufacturing processes directly through AI implementation.
Working at Johnson Electric means joining a truly global, inclusive team that values diversity and innovation. The company serves major brands in automotive, industrial, and consumer markets, offering exposure to various domains. They provide a workplace where employees of different backgrounds are valued and respected, with opportunities for growth and meaningful work in advanced manufacturing.
This position combines technical ML expertise with practical industrial applications, making it perfect for someone passionate about applying AI to real-world manufacturing challenges. The role offers the chance to work with modern tools and technologies while contributing to the digital transformation of a global manufacturing leader.
Responsibilities For Machine Learning Engineer
- Translate business problems into ML tasks like 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
- Apply MLOps best practices
- Collaborate with product owners and deliver value in sprints
- Produce clean, test-covered, well-documented code
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 and basic Kubernetes concepts
- Familiarity with Azure ML or comparable cloud ML services
- Familiarity with Generative frameworks like LangChain, LlamaIndex
- Understanding of CI/CD & IaC workflows
- Strong communication skills and hands-on problem solving
Jobs Related To Johnson Electric Machine Learning Engineer
