13,000 - 20,000 pln; not specified; not specified ...
Very good knowledge of spark
Hands-on experience building complex data pipelines
Proficiency in handling ml models deployment
The role involves developing and maintaining a code base that produces ML models while improving data flow and establishing new data sources
Job Summary
The role involves developing and maintaining a code base that produces ML models while improving data flow and establishing new data sources.
You will be part of an international highly skilled team of data scientists and engineers delivering Retail Banking Machine Learning solutions including GenAI initiatives.
The position offers opportunities to grow and implement analytics ideas within an agile environment helping ING achieve its global goals.
Matching Summary
The role involves developing and maintaining a code base that produces ML models while improving data flow and establishing new data sources.
Salary
13000 - 20000 PLN; Not specified; Not specified
Skills & Requirements
Must-have
very good knowledge of Spark
hands-on experience building complex data pipelines
proficiency in handling ML models deployment
ability to refactor and debug existing ML solutions
Nice-to-have
interest in banking and banking products
experience working in international cross functional teams
knowledge in Airflow and Azure pipelines
Key Requirements
Very good knowledge of Spark and Python
Hands-on experience with ML model deployment patterns
Problem-solving skills for troubleshooting and optimizing ML models