Machine Learning Engineer III Primary Location
- Cincinnati, OH
- 5+ years of experience in Machine Learning Engineering, MLOps, Data Engineering, or Software Engineering.
- Demonstrated experience implementing end-to-end machine learning lifecycle management.
- Experience operating ML workloads in cloud environments (AWS, Azure, or GCP).
- Experience supporting both batch and real-time machine learning solutions.
- Experience working with large-scale structured and unstructured data.
- 3+ years of experience building and supporting production machine learning systems.
- ML Platform Engineering & Model Operations
- Design, develop, deploy, and manage production-grade machine learning solutions.
- Build scalable and reusable machine learning platforms that support model development, training, validation, deployment, and monitoring.
- Design and maintain automated CI/CD/CT (Continuous Integration, Continuous Delivery, Continuous Training) pipelines for machine learning workflows.
- Automate model testing, validation, deployment, rollback, and retraining processes.
- Design and support enterprise feature stores to improve feature reuse, consistency, and model governance.
- Collaborate with data engineering teams to integrate machine learning solutions with data warehouses, data lakes, and operational data sources.
- Git/GitHub/GitLab
- Jenkins, GitHub Actions, Azure DevOps, or equivalent CI/CD tools
- Terraform or infrastructure-as-code frameworks
- Linux administration
- Shell scripting
- Model performance
- Data quality
- Concept drift
- Feature drift
- System health and reliability
- Data drift
Machine Learning Engineer III in cincinnati at Unknown Company
This position is listed as full time and onsite.