Develop and deliver robust machine learning solutions addressing diverse business challenges (forecasting, classification, optimization, automation) on the Azure Databricks platform.
Own the full ML lifecycle: model development, deployment, monitoring, and retraining — supported by standardized infrastructure and DevOps practices.
Apply strong mathematical and problem-solving skills to translate complex business requirements into effective ML models.
Collaborate with Product Owners, data engineers, DevOps, and architecture teams to build scalable, maintainable, and governed ML pipelines.
Demonstrate curiosity and an iterative mindset, exploring alternative modeling approaches to achieve satisfactory business outcomes.
Reports to: Head of Data & Analytics IT Competence Center
Collaborates with: Product Owners, data engineers, DevOps engineers, architecture/governance teams
Location scope: Glo...
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