MLOps Engineer - MLFlow / Azure Databricks m / w / d, Basel-Landschaft
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 environmentsGood understanding of Azure Databricks and its MLFlow integrationStrong background in MLOps tooling, including CI / CD , model lifecycle management, and monitoringFamiliarity with security, governance, and compliance within ML workflowsExcellent communication and technical documentation skillsFluent in English (written and spoken)Das klingt nach einer spannenden Position?
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