ML Ops Engineer
New Yesterday
Location : Remote/Hybrid/On-Site
Duration: 12 Months
Rate: $95-110 Per Hour W2
Start Date: This role has been filled. Please check back for other opportunities.
Responsibilities:
- Develop ML deployment pipelines
- Automate versioning, retraining, and monitoring
- Manage Kubernetes clusters and model registries
Requirements:
- 3+ years in MLOps or DevOps for AI
- Experience with tools like MLflow, Airflow, Docker, Kubeflow
- Proficient in CI/CD practices and cloud AI tooling
Nice to Haves:
- Background in security and access management
- GCP Vertex AI or AWS SageMaker experience
- Location:
- Philadelphia