Mlops Engineer Analyst

Santander

Boadilla del Monte, Madrid, Spain
Competitive salary with performance-based bonuses;...
Hybrid
Python development for ai applications
Kubernetes deployment and management
Spark etl process implementation
Santander is evolving into a technology-driven organization where MLOps Engineers play a key role in customer-centric transformation

Job Summary

  • Santander is evolving into a technology-driven organization where MLOps Engineers play a key role in customer-centric transformation.
  • The successful candidate will develop and maintain AI applications using Python while ensuring robust code quality through automated testing and CI/CD pipelines.
  • Employees benefit from a hybrid working model, competitive rewards, and access to global learning opportunities through the Santander Open Academy.

Matching Summary

Santander is evolving into a technology-driven organization where MLOps Engineers play a key role in customer-centric transformation.

Salary

Competitive salary with performance-based bonuses; Not specified; Preferential banking terms, wellness programs, and childcare support included

Skills & Requirements

Must-have

  • Python development for AI applications
  • Kubernetes deployment and management
  • Spark ETL process implementation
  • Git version control and CI/CD pipelines
  • Pytest framework for code testing

Nice-to-have

  • AWS or Azure cloud experience
  • Terraform Infrastructure as Code skills
  • MLFlow and Kubeflow orchestration
  • Databricks or Cloudera platform usage
  • Control-M and Airflow scheduling tools

Key Requirements

  • 2+ years of experience developing productive AI applications
  • University degree in Engineering, Computer Science, Mathematics, or Physics
  • Professional English language proficiency required

Work Rights

Not specified

Tailored Resume

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