MLOPS ENGINEER (m/f/d)
Schwarz Group2 months ago
Sofia, BulgariaMid Level
Responsibilities
- Deploy and automate machine learning models in production using MLflow and Databricks.
- Design and maintain CI/CD pipelines with Databricks unit test automation, SonarQube analysis, and notebook linting.
- Implement containerized ML deployments with Docker and Kubernetes.
- Manage automated data and model pipelines using Apache Airflow and Databricks Workflows.
- Establish monitoring and security systems for model performance, drift detection, and load testing.
- Ensure GDPR-compliant data handling, data versioning, feature store management, and secure model lifecycle operations.
- Collaborate with cross-functional teams, share technical knowledge, and promote MLOps best practices.
- Use Google Cloud Platform services to scale ML infrastructure.
Requirements
- Demonstrated ability in stakeholder communication and management.
- Good understanding of related data disciplines such as data engineering and analytics.
- Ability to understand, analyze, and translate business requirements into data-driven solutions.
- Enthusiasm for collaboration, knowledge sharing, and joint learning.
- Very good English skills.
- German is a plus but not required.
Benefits
- The role offers fast decision-making processes, creative freedom, and the stable foundation of the Schwarz Group.
- The position is based at Stiftsbergstraße 1, 74172 Neckarsulm, Germany.
Tech Stack
Categories
About Schwarz Group
Schwarz Group is a German retail group that owns and operates the Lidl and Kaufland grocery chains, plus production and waste-management businesses (Schwarz Produktion and PreZero). Through its digital arm Schwarz Digits it builds and runs IT, cloud, data, and security services for its brands and external clients, and offers retail media solutions via Schwarz Media. Headquartered in Neckarsulm, it is privately held and active across Europe and beyond.