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)
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