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