We are a dynamic and rapidly growing tech company, seeking a talented Machine Learning Engineer to join our team. The successful candidate will be responsible for developing platform and implementing fraud detection models within the banking sector.
We are looking for you, if you:
- are proficient in data & software engineering with a special focus on distributed computing (Spark 3+),
- have experience with Azure DevOps, Airflow, mlFlow, containerization,
- are familiar with 'Clean Coding' paradigms and have programming experience in Python,
- have worked with cloud environments,
- understand ML Ops and have been involved in ML model deployment,
- are familiar with model development frameworks in Python (Scikit-learn, Pandas, NumPy),
- have knowledge of statistical analysis, data mining, and predictive algorithms,
- possess excellent problem-solving skills, attention to detail, and the ability to work both independently and collaboratively,
- have excellent communication and teamwork skills.
You'll get extra points for:
- hands-on experience with code/compute optimization and tuning testing,
- proven capability in handling large data sets for developing fraud detection models,
- master's degree in computer science, statistics, data science or a related field,
- experience with other machine learning frameworks and libraries,
- certifications in relevant fields,
- experience in the banking sector, particularly with fraud detection systems.
Your responsibilities:
- code/compute optimizations & (unit) testing,
- scheduling & distributing code on our data analytics platform,
- working with shared model development codebase,
- assist in model development/deployment,
- collaboration with data scientists in squad,
- maintenance.
English level: B2
Information about the squad:
Are you interested in becoming an integral part of a pioneering team that cooperates in designing, building, and implementing models in the realm of banking fraud detection? We employ a wide range of technologies. Our team enjoys the flexibility to experiment with cutting-edge technologies and techniques in the field of machine learning.
Our clientele includes various divisions of the ING Group, spanning countries such as the Netherlands, Germany, Spain, Italy, Poland, and Romania. By joining us, you will have the opportunity to implement and optimize machine learning models on a global scale, crafting innovative solutions for customers in diverse countries. We are committed to continuous professional development and offer every team member the chance to expand their skills and pursue their interests in a dynamic and collaborative environment.
Our team operates within a Scrum framework, and we're currently seeking an additional ML Engineer who will enrich our team. Could this be the role for you?
The role naming convention in the global ING job architecture will be “Engineer II”
Top Skills
What We Do
ING is a pioneer in digital banking and on the forefront as one of the most innovative banks in the world. As ING, we have a clear purpose that represents our conviction of people’s potential. We don’t judge, coach, or tell people how to live their lives. However big or small, modest or grand, we empower people and businesses to realise their vision for a better future. We made the promise to make banking frictionless, removing barriers to progress, and make people confident in their financial decisions. As a global bank we have a huge opportunity – and responsibility – to make an impact for the better. We can play a role by financing change, sharing knowledge, and innovating. Being sustainable is in all the choices we make—as a lender, as a partner and through the services we offer our customers
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