Data & AI Engineer (m/f/d)

Allianz
Barcelona
Workplace: HybridFull timeFunction: Data Science & Machine LearningExperience: 5-7 yearsSkills: ["Cross-functional collaboration","Self-motivation","Agile delivery","Documentation","Communication"]

Design and productionize machine learning models and data-driven applications for Allianz’s insurance environment, partnering with a cross-functional team in the Az Services Spain Engineering Hub. Build robust, maintainable pipelines; develop classical and text-oriented models; and create evaluation frameworks with offline/online feedback loops. Package and deploy secure, versioned model endpoints behind stable APIs using MLOps practices, CI/CD, Docker/Kubernetes, and production-grade logging, monitoring, and testing.

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FursaFursa
Allianz
Allianz
12 hours ago

Data & AI Engineer (m/f/d)

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 12 hours agoStatus: Live

Job Summary

Design and productionize machine learning models and data-driven applications for Allianz’s insurance environment, partnering with a cross-functional team in the Az Services Spain Engineering Hub. Build robust, maintainable pipelines; develop classical and text-oriented models; and create evaluation frameworks with offline/online feedback loops. Package and deploy secure, versioned model endpoints behind stable APIs using MLOps practices, CI/CD, Docker/Kubernetes, and production-grade logging, monitoring, and testing.
Location: Barcelona
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design and implement machine learning models and data-driven applications with robust system design and clean, maintainable pipelines.
  • •Develop and deploy machine learning models for structured data and unstructured/text-based data using approaches such as LightGBM, XGBoost, and Scikit-Learn.
  • •Create evaluation frameworks and feedback loops using offline/online testing and regression checks to ensure accuracy over time.
  • •Build secure, versioned integrations between models and internal APIs/databases/SaaS systems using REST principles and structured response schemas.
  • •Deploy model versions behind stable endpoints, optimizing latency and reliability with automated testing, containerized deployments (Docker/Kubernetes), and production logging/monitoring/traceability.

Pay and Benefits

Perks:Annual BonusPensionEquityHealth InsuranceParental LeaveRemote Work

Key Requirements

  • •5–7 years delivering end-to-end ML or data engineering projects from data preparation through production deployment and monitoring.
  • •Strong Python programming and software engineering fundamentals including unit testing, type hinting, and packaging.
  • •Hands-on MLOps experience and solid understanding of the machine learning product lifecycle.
  • •Experience with CI/CD automation (GitHub Actions, Jenkins) and containerization (Docker, Kubernetes).
  • •Good level of English and ability to coordinate with cross-functional teams in an agile environment.
Experience:5-7 yearsInsuranceMLOps
Skills:Cross-functional collaborationSelf-motivationAgile deliveryDocumentationCommunication
Languages:English
Tech Stack:PythonLightGBMXGBoostScikit-LearnRESTAPI versioningDockerKubernetesAzureGitHub ActionsJenkinsCI/CDMachine learningMLOpsContract testingLoggingMonitoringRegression testing

Company Brief

Allianz
Global insurance and financial services group offering property-casualty insurance, life and health insurance, asset management, and corporate risk solutions to individuals, businesses, and institutions across more than 70 countries.
Industry: Insurance
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Munich, Germany
Founded: 1890
WebsiteLinkedIn