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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