MLOps Engineer
vor 2 Wochen
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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