Junior/Medior Machine Learning Engineer

at ABN AMRO

📍 Amstelveen, Netherlands

€53,600-76,600 per year

MIDDLE
✅ Hybrid

🕙 36-40 hours per week

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Security @ 3 Linux @ 3 Python @ 6 SQL @ 3 Spark @ 3 CI/CD @ 3 Machine Learning @ 3 MLOps @ 3 Data Science @ 3 Databricks @ 3 Fraud @ 3 E-commerce @ 3 Design Patterns @ 6

Details

Are you a pioneering machine learning engineer who likes to think out-of-the-box? Would you like to drive new data science solutions to tackle financial fraud? Do you want to work with cutting-edge technologies to catch criminals?

Your Job

As a machine learning engineer, you will work with fraud experts and data scientists to safeguard our systems from criminals. This includes threats such as phishing, account takeover, lost or stolen debit cards, e-commerce fraud, and more. Your role will involve improving and automating machine learning operational processes across the entire machine learning lifecycle to enhance team efficiency in protecting customers. You will work with big data in real-time using cutting-edge technologies for fraud detection.

You will also be responsible for advocating best practices in machine learning operations across teams to ensure the effective application of industry practices. The role requires the ability to simplify technical concepts for diverse stakeholders and seamless collaboration within a team. You will constantly devise ways to enhance the machine learning lifecycle to reduce technical debt and improve efficiency, serving as a benchmark for others and facilitating team achievement of these standards.

ABN AMRO is a future-driven bank continuously unlocking the power of data, and you will be part of this transformation!

Your Profile

  • 1-3 years of industry experience with building machine learning based solutions
  • Enjoy solving complex technical puzzles with a value-focus
  • Experience in machine learning operations: deployment, maintenance, and implementation
  • Understanding of MLOps principles, CI/CD pipelines, containerization technologies, and version control
  • Strong knowledge of Python software engineering skills: design patterns, unit tests, and project packaging
  • Working knowledge of SQL and Spark
  • Experience with Linux, cloud technologies, and ML platforms such as Databricks

We Offer

  • An internal contract for 36-40 hours a week in hay scale 9
  • Flexible work and growth opportunities
  • Good facilities for flexible work from home
  • Personal development budget of EUR 1,000 per year
  • Supplementary benefit budget of 11% for additional fringe benefits
  • Annual public transportation pass
  • Solid pension plan

Working Environment

You will be part of Grid Channel Security within Corporate Information Security Office (CISO), responsible for preventing and detecting payment fraud, along with formulating policies and strategies in this area. The fraud detection team is a motivated group focused on protecting customers, recognized for having an informal work atmosphere where everyone is committed to helping others.