We are looking for a Senior Machine Learning Engineer with strong expertise in Azure ML or Microsoft Fabric to deliver advanced, data-driven solutions for customer segmentation and debt management optimization.
The ideal candidate will take ownership of the ML lifecycle — from model selection to fine-tuning — ensuring actionable insights that drive measurable results.
Key Responsibilities- Design, implement, and optimize ML models in Azure ML or Microsoft Fabric environments
- Independently select and apply the most suitable ML algorithms
- Build models for customer segmentation and classification
- Deliver insights to support decision-making and optimize action strategies around debt management
- Proven hands-on experience with Azure ML or Microsoft Fabric
- Strong understanding of segmentation, classification, and predictive modeling
- Analytical mindset with the ability to translate data into actionable strategies
- EU citizenship or valid EU work permit
- Lithuanian language or fluent English
- Background in debt recovery, customer segmentation, or optimization workflows
- Experience in financial analytics projects
Location: Vilnius, Lithuania (Remote across EU)
Duration: 12 months
This is a remote position open across the EU/EEA.
Key Skills
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- Posted
- Aug 26, 2025
- Type
- Full-time
- Level
- Mid-Senior
- Location
- Vilniaus
- Company
- Progressocore
Industries
Categories
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