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 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)
Das klingt nach einer spannenden Position?
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