ING Hubs Poland is hiring!
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.
Youll 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 product squad is delivering a Retail Banking Machine Learning solution including GenAI will have opportunity to grow and implement your analytics ideas!
The role naming convention in the global ING job architecture will be Engineer IV
Required Experience:
Senior IC
ING Global Career Opportunities - Welcome to 'careers at ING'. We give you the space to develop yourself as an intern, trainee and professional. Check out our opportunities. Jump on!