MLOps Section Manager (m/f/d)​

Grupa KRUK is a company specializing in debt management and servicing. The Data Science team delivers models supporting key operational and valuation processes across all markets where the group operates. The team is undergoing a transformation including the implementation of a cloud analytics platform (Databricks on Azure).

• Excellent knowledge of the Databricks environment in analytics/ML context: MLFlow, Feature Store, Unity Catalog, Online Feature Store.
• Excellent knowledge of Declarative Automation Bundles (formerly Databricks Asset Bundles).
• Excellent knowledge of MLOps practices: GitLab, CI/CD for models/Feature Store, pipeline automation, integrations.
• Knowledge of code/model deployment processes, governance/lineage for models and data, and model lifecycle.
• Knowledge of Spark, Python, Scala, SQL and ability to optimize processes/queries.
• Ability to deploy and maintain applications within Databricks Apps.
• Experience integrating Databricks model serving endpoints with other systems according to Enterprise architecture requirements (kong, grafana, nexus, etc.).
• Experience managing a team of specialists.

Nice to have:

• Databricks certifications in analytics/MLOps/data.
• Knowledge of GCP analytics components (Google BigQuery, Vertex AI Studio).
• Ability to optimize costs for Databricks/Azure/GCP.
• Experience working in Agile environments.

• Support the team implementing the Databricks platform in MLOps aspects including integrations, CI/CD, asset bundles, and pipelines, along with maintenance and development of the platform.
• Maintain current MLOps processes deployed and maintained within existing solutions (MSSQL, mlflow, gitlab, docker, Python, R).
• Lead the MLOps specialists team, develop their competencies, and plan their work.

During recruitment, the company ensures an inclusive process and equal opportunity principles, considering competencies and willingness to develop regardless of gender, age, disability, religion, sexual orientation, origin, or other unrelated factors. The recruitment process is accessible and adapted to relevant needs. All personal data processing information is available in the application form.