Senior GenAI ML Engineer for Financial Crime

Nordea

Stockholms kommun

Hybrid

SEK 800,000 - 1,100,000

Full time

14 days+

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Benefits offered by this job

Hybrid working model
Diversity and inclusion initiatives

Job summary

Nordea Bank Norge ASA is seeking a skilled ML/AI professional to drive generative AI initiatives within financial crime prevention. You will prototype high-impact GenAI projects, build and deploy production-grade applications, and collaborate with diverse teams to deliver end-to-end solutions.

Responsibilities include designing evaluation frameworks, advancing best practices, and documenting models to meet risk and compliance standards.

Qualifications

  • MSc or PhD in Data Science, Machine Learning, Computer Science, Software Engineering, Mathematics, Physics, Statistics, or related fields. Equivalent practical experience is also valued.

Responsibilities

  • Identify and prototype high-impact GenAI projects with business stakeholders
  • Build, deploy and monitor production-grade Gen AI applications
  • Collaborate with cross-functional teams (product, engineering, data) to deliver end-to-end solutions
  • Design and implement evaluation frameworks to measure and improve application quality
  • Contribute to best practices, tooling and architecture for Generative AI development
  • Document models and evaluations to meet risk and compliance standards and ensure responsible use of AI

Skills

Production ML/AI systems in Python
GenAI applications
DevOps practices
Systems design for ML/AI
Communication across stakeholders

Education

MSc or PhD in Data Science/ML/CS/SE/Math/Physics/Statistics

Tools

LLM APIs
Observability

Job description

Nordea Bank Norge ASA is seeking a skilled ML/AI professional to drive generative AI initiatives within financial crime prevention. You will prototype high-impact GenAI projects, build and deploy production-grade applications, and collaborate with diverse teams to deliver end-to-end solutions.

Responsibilities include designing evaluation frameworks, advancing best practices, and documenting models to meet risk and compliance standards.

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