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Werken bij ABN AMRO

junior/medior Machine Learning Engineer

31-10-2024
4.466 - 6.380
Junior, Medior
Amstelveen
The Junior/Medior Machine Learning Engineer will collaborate with fraud experts and data scientists to enhance and automate machine learning processes for fraud detection, ensuring operational efficiency and safeguarding customers.

At a glance

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, in the Grid Channel Security, you will work together with fraud experts and data scientists to safeguard our 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; so that the team can work faster and more efficient, to protect customers. You will work with big-data in real-time using cutting-edge technologies for fraud detection.  

You will also be responsible for championing the best practices in machine learning operations across teams to ensure that industry practices are effectively applied. This role also calls for an individual who can simplify technical concepts for diverse stakeholders, and can seamlessly collaborate within a team. 

You will be constantly devising ways to enhance the machine learning life-cycle to reduce technical debt, as well as improve efficiency. Your work serves as a benchmark for others, and you encourage and facilitate team members to achieve these standards. You are eager to work alongside others to brainstorm how data science solutions can help us stay one step ahead of criminals in the ongoing cat-and-mouse game. 

ABN AMRO is a future driven bank that is working continuously on unlocking the power of data: you will be part of this transformation!  

Working environment

Grid Channel Security within Corporate Information Security Office (CISO) is responsible for the prevention and detection of payment fraud, and deciding the policy and strategy in the area of fraud. The fraud detection team that you are going to be part of, is a motivated group of colleagues working with a focus on protecting customers. CISO is recognised as having an informal work atmosphere where everyone has a heart for their job and is prepared to help others. 

What is in it for you? 
Concrete goal: prevention and detection of fraud 
Work that will have a direct impact for society 
Personal freedom to learn and develop 
A hybrid working environment 
Cutting-edge technologies 

Your profile

  • You have 1-3 years of industry experience with building machine learning based solutions 
  • You enjoy solving complex technical puzzles and are value-focused
  • You have experience in machine learning operations: deployment, maintenance, and implementation 
  • You have understanding of MLOps principles, CI/CD pipelines, containerisation technologies and version control
  • You have strong understanding of Python software engineering skills: design patterns, unit tests and project packaging
  • You have strong working knowledge of SQL and Spark
  • You have experience with Linux, cloud technologies and ML platforms such as Databricks
     

We are offering

  • An internal contract for 36-40 hours a week in hay scale 9
  • Freedom to get the best out of yourself, flexible work and growth opportunities 
  • Working in a hybrid way, both from home as well as at the office.  
  • Good facilities for flexible work from home 
  • The opportunity to pro-actively work on your vitality and fitness 
  • A personal development budget of EUR 1.000 per year 
  • A supplementary benefit budget of 11%, which you can spend on additional fringe benefits 
  • An annual public transportation pass 
  • A solid pension plan


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Contactpersoon

Neem contact op met Robert van den Boogaard

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