Advanced Data and Machine Learning Engineer
4 tygodni temu
We are looking for you if, you have:
- very good knowledge of Spark and Python,
- hands-on 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),
- 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, 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 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, 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 - it's a manifestation of ING's vision for a customer-centric, intelligent, and globally aligned banking experience. Whether it's the personalization that customers experience, the AI-powered 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 ING's core values and aspirations.
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