Machine Learning Engineer
Core
Deploy and manage end-to-end Machine Learning solutions and data architecture for a tire manufacturing factory to optimize production efficiency and decision-making.
Role type
Machine Learning Engineer (MLOps & Industrial AI)
Builds
Production ML models and data pipelines for industrial manufacturing processes
Domain
Manufacturing (Tire production) + Industrial IoT
Deliverable
production ML models
Required skills
Machine Learning model development, MLOps lifecycle management, Python (advanced), SQL (advanced), Data visualization, Git, Scientific libraries (pandas, scipy, numpy, jupyter), scikit-learn, statsmodels, CI/CD, Docker
Preferred skills
Deep learning, Apache Spark, AWS cloud services, Kubernetes
Responsibilities
Monitor ML processes and performance impact on factory operations, Continuously tune and adapt ML models, Explore and improve data quality, Facilitate communication between headquarters and factory teams
