Mlops Engineer Mlflow / Azure Databricks
Home Office, CH, Switzerland
Job Description
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For our client in the financial industry, we are looking for an MLOps Engineer - MLFlow / Azure Databricks.
Your Responsibilities:
Set up and configure MLFlow tracking, model registry, and artifact storage for both on-prem and Azure environments Integrate MLFlow with Databricks and/or on-premise infrastructure Ensure secure access, data protection, and compliance with internal policies and governance standards Enable MLOps automation by supporting CI/CD pipelines for ML models using tools such as Azure DevOps or GitHub Actions Define and implement workflows for model training, validation, deployment, and monitoring Collaborate closely with data scientists and platform engineers to operationalize machine learning models effectively Produce detailed documentation of setup processes, workflows, and best practices Contribute to the design of the target MLOps architecture and assist with migration planning to Azure Databricks
Your Profile:
Proven hands-on experience with MLFlow, both on-premise and in cloud environments Good understanding of Azure Databricks and its MLFlow integration Strong background in MLOps tooling, including CI/CD, model lifecycle management, and monitoring Familiarity with security, governance, and compliance within ML workflows Excellent communication and technical documentation skills * Fluent in English (written and spoken)
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Job Detail
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Job IdJD1822450
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IndustryNot mentioned
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Total Positions1
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Job Type:Full Time
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Salary:Not mentioned
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Employment StatusPermanent
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Job LocationHome Office, CH, Switzerland
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EducationNot mentioned