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Intrum

Credit management and debt resolution services

Senior Machine Learning Operations

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeRiga, LatviaNo salary listedIn-person

About the Job

Requirements

  • At least 3 years of hands-on experience with the Azure Cloud ecosystem.
  • Experience operating applications in enterprise Azure environments.
  • Strong experience with Azure Databricks, MLflow, Databricks Model Registry, Databricks Feature Store, and Unity Catalog.
  • Strong proficiency in Python, PySpark, and SQL.
  • Deep understanding of the software development lifecycle, software development patterns, and integration and unit testing for machine learning components.
  • Knowledge of enterprise security standards and regulatory requirements.
  • Fluent English.

Responsibilities

  • Design and maintain an enterprise-grade MLOps platform and framework based on Azure and Databricks.
  • Enable self-service capabilities for Data Science teams by providing resources throughout the project lifecycle and creating building blocks and pipelines to accelerate development.
  • Build and maintain CI/CD pipelines for machine learning and AI to automate model deployment, versioning, and monitoring.
  • Manage the machine learning lifecycle using MLflow in Databricks for experiment tracking and model registry management.
  • Bridge Data Science and Platform Engineering teams to design scalable and compliant solutions for Group and Market needs.
  • Lead and perform the transition from legacy machine learning platforms to a Databricks-based platform.
  • Create automated alerting and incident response procedures.
  • Ensure cost-efficient operations of deployed models.

About the Company

Intrum

Credit management and debt resolution services

Intrum helps businesses and individuals with credit management and debt resolution across Europe. It uses AI-powered tools like Ophelos for more efficient, personalized debt collection and Inio to automate invoicing and reduce churn. The company combines long experience, large scale, and a focus on sustainable financial recovery with a human, respectful approach to debt. Its goal is to improve financial wellbeing by speeding up late payments, recovering unpaid invoices, and supporting a stable financial future for society.

Company size
5,001-10,000
Company stage
IPO
Headquarters
Stockholms kommun, Sweden
Founded
1923

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