Advanced Data and Machine Learning Engineer

4 tygodni temu


Warszawa, Mazovia, Polska Inghubspoland Pełny etat
Advanced Data and Machine Learning Engineer

Join to apply for the Advanced Data and Machine Learning Engineer role at ING Hubs Poland.

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 learning 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, analysts, 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.

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Engineering and Information Technology

Industries

Banking

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