Staff Augmentation
AIOps Engineers
AI Operations engineers who manage and scale AI/ML systems in production. Experts in MLOps, model monitoring, and AI infrastructure.
Typical Responsibilities
- Deploy and manage ML models in production
- Monitor model performance and drift
- Build MLOps pipelines and automation
- Manage AI infrastructure and compute resources
- Implement model versioning and governance
Required Skills
- 3+ years MLOps/AIOps experience
- Python and ML frameworks
- Cloud platforms (AWS, Azure, GCP)
- Container orchestration (Kubernetes)
Preferred Qualifications
- MLflow, Kubeflow experience
- Feature store implementation
- LLM deployment experience
- Model monitoring tools
Ready to Scale Your Team?
We have pre-vetted AIOps engineers ready to join your team within 2 weeks.