Own the model lifecycle across SEVN - the CI/CD, orchestration, and monitoring that take a vision model from training to every edge node and keep it healthy.
What you'll do- Build CI/CD pipelines for models - training, evaluation, packaging, and deployment to the edge fleet.
- Orchestrate model rollouts, versioning, rollback, and A/B evaluation across nodes.
- Automate data and labeling pipelines that feed retraining loops.
- Monitor model performance and data drift in production; trigger retraining and alerts.
- Own the model registry, experiment tracking, and reproducibility.
- Partner with CV/ML engineers to shorten the path from experiment to production.
What you bring- BS / MS in Computer Science, EE, or related - or equivalent experience.
- 3+ years in MLOps, ML platform, or DevOps for ML.
- Experience with ML pipeline tooling (e.g. MLflow, Kubeflow, Airflow, or similar).
- Strong Python; CI/CD, containers, and infrastructure-as-code.
- Experience deploying and monitoring models at the edge or in production.
- Comfortable owning the reliability of a live, always-on system.
- Bilingual English / Spanish a plus.
