Advanced Data and Machine Learning Engineer
Advanced Data and Machine Learning Engineer
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Job Description
ING Hubs Poland is hiring!
We are looking for you if you have:
very good knowledge of Spark and Python
handson experience building complex data pipelines
good understanding of ML models deployment and consumption patterns
ability to refactor maintain debug existing machine learnings solutions
experience in deployment and provisioning automation tools (e.g. Docker Kubernetes CI/CD)
problemsolving 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 GCP (Dataproc BigQuery GCS) Azure pipelines.
Your responsibilities:
develop and maintain a code base that produces ML models for different business units
refactor simplify complexity continuously (e.g. batch to stream processing)
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 costeffectiveness
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 analyst and machine learning/data engineers. You will be working in an agile environment helping ING to achieve its goals on a global scale. The Orchestrator program at ING is more than just a technological marvel its a manifestation of INGs vision for a customercentric intelligent and globally aligned banking experience. Whether its the personalization that customers experience the AIpowered insights that drive decisions the global reach of the program or the innovative utilization of recommender engines the Orchestrator stands as a symbol of what modern banking can be. It represents a blend of technology and empathy efficiency and engagement and above all a relentless pursuit of excellence that echoes INGs core values and aspirations.
The role naming convention in the global ING job architecture will be Engineer III.
Employment Type
Full-Time
