About this role
MLOps Engineer — AI/ML Systems & Deployment (TS/SCI Preferred) at Rackner. Location: Dayton, Ohio, United States. Role: build pipelines, deploy models, monitor systems Requirements: Experience deploying ML systems; strong Python and ML frameworks; orchestration tools Kubeflow/Airflow/Argo; Kubernetes; CI/CD for ML; knowledge of LLMs and computer vision. Category: Software Development Seniority: Mid Level Tools: Kubeflow, Airflow, Argo, MLflow, ClearML, Kubernetes, Docker, OCI, OpenTelemetry, Prometheus, Grafana, lakeFS Commitment: Full Time Workplace: Hybrid Languages: English