Mondo
Job Title:
MLOps Engineer 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
MLOps Engineer 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