Machine Learning Engineer (f/m/x)

Deutsche Bank

Bucharest, Romania
Not specified; not specified; competitive income m...
Fully remote
Python and pyspark development experience
Hadoop ecosystem expertise including spark and hdfs
Big data processing and performance optimization
Deutsche Bank is seeking a Machine Learning Engineer to join their Bucharest Technology Centre, focusing on developing anti-fraud detection solutions within the Investment Banking and Anti-Financial Crime & Compliance team. The ideal candidate will have strong experience in big data technologies, particularly within Python and the Hadoop ecosystem

Job Summary

  • The role focuses on protecting Deutsche Bank from financial crimes by developing high-quality anti-fraud detection solutions using big data technologies.
  • Candidates must demonstrate technical maturity in designing and implementing scalable machine learning models within a collaborative scrum environment.
  • The company offers a robust culture of continuous learning, flexible work-from-home options, and comprehensive benefits including private healthcare and life insurance.

Matching Summary

Match Score: 85

Deutsche Bank is seeking a Machine Learning Engineer to join their Bucharest Technology Centre, focusing on developing anti-fraud detection solutions within the Investment Banking and Anti-Financial Crime & Compliance team. The ideal candidate will have strong experience in big data technologies, particularly within Python and the Hadoop ecosystem.

Salary

Not specified; Not specified; Competitive income mentioned

Skills & Requirements

Must-have

  • Python and PySpark development experience
  • Hadoop ecosystem expertise including Spark and HDFS
  • Big data processing and performance optimization
  • SQL database knowledge and optimization techniques
  • Test driven development and clean code practices
  • Agile Scrum methodology experience
  • Git version control proficiency

Nice-to-have

  • Previous exposure to banking and anti-financial crime concepts
  • Experience with Google Cloud Platform
  • Familiarity with Control-M workload automation tool
  • Knowledge of DevOps CI/CD practices
  • Statistical modelling and data mining aptitude
  • Shell scripting skills
  • Atlassian stack familiarity (Jira, Confluence)

Key Requirements

  • Bachelor's degree in Computer Science or IT-related discipline
  • Proven experience with distributed computing principles
  • Unix/Linux environment knowledge
  • Ability to manage time effectively to meet deadlines

Work Rights

Not specified

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