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. \n Responsibilities: \n
\n - Develop ML deployment pipelines
\n - Automate versioning, retraining, and monitoring
\n - Manage Kubernetes clusters and model registries
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\n Requirements: \n
\n - 3 years in MLOps or DevOps for AI
\n - Experience with tools like MLflow, Airflow, Docker, Kubeflow
\n - Proficient in CI/CD practices and cloud AI tooling
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\n Nice to Haves: \n
\n - Background in security and access management
\n - GCP Vertex AI or AWS SageMaker experience
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