ING Hubs Poland is hiring!
The expected salary for this position: 13000 - 20000 PLN
The financial ranges specified in the announcement are adjusted and may differ from the range specified in the remuneration regulations.
We are looking for you if, you have:
very good knowledge of Spark and Python,
hands-on experience building complex data pipelines,
proficiency in handling ML models, including deployment and consumption patterns,
ability to refactor, maintain, debug existing machine learnings solutions,
problem-solving skills, being able to troubleshoot and optimize ML models.
You'll get extra points for:
interest in banking and banking products,
experience working in international, cross functional teams,
knowledge in Airflow, Azure pipelines.
Your responsibilities:
develop and maintain a code base that produces ML models,
improve data flow, establish new data sources and deployment,
troubleshoot data issues, providing robust solutions to ensure optimal performance and reliability,
continuously optimize our systems for performance and cost-effectiveness,
document technical specifications, procedures, and outcomes,
use Azure DevOps for CI/CD, task tracking, version control, and other DevOps practices.
Information about team:
You will be part of an international highly skilled team of data scientists, machine learning and data engineers (Center of Excellence Analytics Engineering at ING). You will be working in an agile environment helping ING to achieve its goals on a global scale. Your product squad is delivering a Retail Banking Machine Learning solution, including GenAI initiatives. You will have opportunity to grow and implement your analytics ideas!
The role naming convention in the global ING job architecture will be “Engineer IV”
The financial ranges specified in the announcement are adjusted and may differ from the range specified in the remuneration regulations.
Skills Required
- Very good knowledge of Spark
- Hands-on experience building complex data pipelines
- Proficiency in handling ML models, including deployment and consumption patterns
- Ability to refactor, maintain, debug existing machine learning solutions
- Problem-solving skills to troubleshoot and optimize ML models
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
