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Senior MLOps Engineer

intrum · Riga

New
Senior 🇬🇧 English
Azure Azure Databricks MLflow Unity Catalog PySpark SQL Python CI/CD

Job description

About the role

Intrum is implementing a modern cloud-based data platform to replace legacy on-prem solutions, centred around Databricks and medallion architecture, running in a secure private network with a full data lifecycle from ingestion to reporting. You will join the Data Operations team, which maintains the data platform infrastructure and pipelines, and the MLOps function, which designs, builds and deploys production-grade AI solutions. The role focuses on the engineering lifecycle: turning ML and AI solutions into scalable products, managing automated retraining loops and keeping the AI infrastructure robust in the Azure and Databricks environment.

Key responsibilities

  • Design, build and maintain an enterprise-grade MLOps platform and framework based on Azure and Databricks, and enhance deployed components.
  • Support Data Science teams' journey on the platform, provide building blocks and pipelines to speed up development, and enable self-service capabilities.
  • Migrate ML models from legacy ML platforms to Databricks.
  • Build and maintain CI/CD pipelines for machine learning and AI to automate model deployment, versioning and monitoring.
  • Manage the ML lifecycle with MLflow in Databricks, including experiment tracking and model registry.
  • Act as the bridge between Data Scientists and Platform Engineers to design scalable, compliant solutions.
  • Create automated alerting and incident response procedures and ensure cost-efficient operation of deployed models.

Required profile

  • 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.
  • Fluent English.

Required skills

  • Strong proficiency in Python, PySpark and SQL.
  • Deep understanding of the software development lifecycle, software development patterns, integration and unit testing for ML components.
  • Knowledge of enterprise security standards and regulatory requirements.

What we offer

  • A challenging, developing position in an international company with growth ambitions.
  • Skilled co-workers and a supportive culture where effort counts.
  • Learning opportunities through different learning arenas.

To apply, send an English CV and a cover letter through the application form on the posting page.

Questions fréquentes

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Published pirms 6 dienām

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