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Machine Learning Operations Engineer
A company is looking for a Machine Learning Operations Engineer. Key Responsibilities Implement MLOps tools, frameworks, and platforms for ML development, deployment, and governance Create and maintain a repeatable ML workflow for model training, evaluation, deployment, and maintenance Engage with data engineers and data scientists to improve tracking and monitoring of models and resolve ML workflow issues Required Qualifications 3+ years of experience with Python in production and ETL settings 2+ years of building Data or MLOps pipelines using Python, Airflow, Databricks, or similar services 2+ years of experience with AWS, Vertex AI, and Kubernetes 1+ years of experience managing Docker, Kubernetes, Spark, CI/CD, and Git-Ops B.S. in a relevant field (e.g., Computer Science, Mathematics, Engineering)
A company is looking for a Machine Learning Operations Engineer.
Key Responsibilities
Implement MLOps tools, frameworks, and platforms for ML development, deployment, and governance
Create and maintain a repeatable ML workflow for model training, evaluation, deployment, and maintenance
Engage with data engineers and data scientists to improve tracking and monitoring of models and resolve ML workflow issues
Required Qualifications
3+ years of experience with Python in production and ETL settings
2+ years of building Data or MLOps pipelines using Python, Airflow, Databricks, or similar services
2+ years of experience with AWS, Vertex AI, and Kubernetes
1+ years of experience managing Docker, Kubernetes, Spark, CI/CD, and Git-Ops
B.S. in a relevant field (e.g., Computer Science, Mathematics, Engineering)
