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GenAI/ML Expert

Bucharest, Rumänien

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Apply at Deutsche Bank

What you’ll work on

Full posting
  • Write code and write it well.

  • Design and develop excellent and understandable server-side code

  • Develop or being willing to learn big data machine learning solutions

From the employer’s posting
Develop and deploy, within a team, big data anti-fraud detection solutions and models using Python and PySpark; ability/willingness to learn how to improve them with machine learning algorithms and models Write code and write it well. Use test driven development, write clean code and refactor constantly Design and develop excellent and understandable server-side code
Write code and write it well. Use test driven development, write clean code and refactor constantly Design and develop excellent and understandable server-side code Develop or being willing to learn big data machine learning solutions
Design and develop excellent and understandable server-side code Develop or being willing to learn big data machine learning solutions Collaborate closely with product owners, analysts, developers and testers. Make sure we are building the right thing

What you’ll bring

All qualifications

Core experience

  • Python & Data Analytics: Python, PySpark, Pandas, NumPy, data mining, Scikit-learn/ML – 5–7+ years
  • 24 days holiday, loyalty days, up to 3 health days and bank holidays (including weekdays for weekend bank holidays).
  • Proven ability to leverage AI tools to enhance productivity, optimise workflows to solve business problems, while applying critical judgment to ensure responsible and ethical use of data and AI outputs.
Qualification wording
Python & Data Analytics: Python, PySpark, Pandas, NumPy, data mining, Scikit-learn/ML – 5–7+ years
24 days holiday, loyalty days, up to 3 health days and bank holidays (including weekdays for weekend bank holidays).
Proven ability to leverage AI tools to enhance productivity, optimise workflows to solve business problems, while applying critical judgment to ensure responsible and ethical use of data and AI outputs.

Tools in this posting

  • Python
  • Shell
  • SQL
  • BigQuery
  • GCP
  • Hadoop
  • Hive
  • Oracle
  • Spark
  • NumPy
  • pandas
  • PySpark
  • scikit-learn
Source — Tool mentions in context
- As part of a development team, collaborate with other team members to understand requirements, analyze and refine stories, design solutions, implement them, test them and support them in production - Develop and deploy, within a team, big data anti-fraud detection solutions and models using Python and PySpark; ability/willingness to learn how to improve them with machine learning algorithms and models - Write code and write it well. Use test driven development, write clean code and refactor constantly
- Data Engineering & Big Data: Spark, Spark SQL, PySpark, DataFrames, Hadoop, HDFS, Hive, YARN, distributed computing – 7+ years - Python & Data Analytics: Python, PySpark, Pandas, NumPy, data mining, Scikit-learn/ML – 5–7+ years - Databases & Performance: SQL, Oracle, Hive, Impala, query and processing optimization – 7+ years
- AI, GenAI & Agentic AI: LLMs, AI Agents, RAG, tool/function calling, prompt engineering, agent orchestration, evaluation & guardrails – 2–3+ years AI/GenAI exposure - Engineering, DevOps & Automation: Linux/Unix, Shell, Git, Bitbucket, CI/CD, Control-M – 5+ years - Agile & Technical Delivery: Agile/Scrum, Jira, Confluence, solution ownership, technical leadership, stakeholder engagement – 5+ years
Skills - Data Engineering & Big Data: Spark, Spark SQL, PySpark, DataFrames, Hadoop, HDFS, Hive, YARN, distributed computing – 7+ years - Python & Data Analytics: Python, PySpark, Pandas, NumPy, data mining, Scikit-learn/ML – 5–7+ years
- Python & Data Analytics: Python, PySpark, Pandas, NumPy, data mining, Scikit-learn/ML – 5–7+ years - Databases & Performance: SQL, Oracle, Hive, Impala, query and processing optimization – 7+ years - Cloud & Modern Data Platforms: Google Cloud Platform, cloud data processing, scalable data solutions – 3–5+ years
Responsibilities - Agentic development and Data engineering (BigQuery, BigData, GCP capabilities) - As part of a development team, collaborate with other team members to understand requirements, analyze and refine stories, design solutions, implement them, test them and support them in production
- Databases & Performance: SQL, Oracle, Hive, Impala, query and processing optimization – 7+ years - Cloud & Modern Data Platforms: Google Cloud Platform, cloud data processing, scalable data solutions – 3–5+ years - AI, GenAI & Agentic AI: LLMs, AI Agents, RAG, tool/function calling, prompt engineering, agent orchestration, evaluation & guardrails – 2–3+ years AI/GenAI exposure

Posting record

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Open 4 monthsWe first saw this posting 142 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records
Live
First seen by us
Jun 9, 2026 · 142 days ago
Recorded sightings
767
Last seen by us
Oct 29, 2026

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Job description

View original posting ↗

GenAI/ML Expert (f/m/x)
Job ID:R0430546 Full/Part-Time: Full-time Regular/Temporary: Regular Listed: 2026-10-22 Location: Bucharest

Position Overview

DB Global Technology is Deutsche Bank’s technology centre in Central and Eastern Europe. Since its set-up in 2013, Bucharest Technology Centre (BEX) has constantly proven its capacity to deliver global technology products and services, playing a dynamic role in the Bank’s technology transformation. 

We have a robust, hands-on engineering culture dedicated to continuous learning, knowledge-sharing, technical skill development and networking. We are an essential part of the Bank’s technology platform and develop applications for many important business areas.

 

Our AFC(Anti-Financial Crime) team is responsible for protecting Deutsche Bank from financial and reputational losses incurred by financial crimes by assessing, controlling and mitigating risks. Risk types related to Anti-Financial Crime are consolidated in a comprehensive and effective risk management framework that covers Anti-Money-Laundering, Sanctions & Embargoes, Anti-Bribery & Corruption as well as Anti-Fraud & Investigations. 



Responsibilities

  • Agentic development and Data engineering (BigQuery, BigData, GCP capabilities)
  • As part of a development team, collaborate with other team members to understand requirements, analyze and refine stories, design solutions, implement them, test them and support them in production
  • Develop and deploy, within a team, big data anti-fraud detection solutions and models using Python and PySpark; ability/willingness to learn how to improve them with machine learning algorithms and models
  • Write code and write it well. Use test driven development, write clean code and refactor constantly
  • Design and develop excellent and understandable server-side code
  • Develop or being willing to learn big data machine learning solutions
  • Collaborate closely with product owners, analysts, developers and testers. Make sure we are building the right thing
  • Define and evolve the architecture of the components you are working on
  • Ensure that the software you build is reliable and easy to maintain in production
  • Help your team build, test and release software with short lead times and a minimum of waste.
  • Work to develop and maintain a highly automated Continuous Delivery pipeline
  • Help create a culture of learning and continuous improvement within your team and beyond
  • Actively support the business strategy, plan and value, contributing to the achievement of a high-performance culture
  • Take ownership for own career management, seeking opportunities for continuous development of personal capability and improved performance contribution.

Skills

  • Data Engineering & Big Data: Spark, Spark SQL, PySpark, DataFrames, Hadoop, HDFS, Hive, YARN, distributed computing – 7+ years
  • Python & Data Analytics: Python, PySpark, Pandas, NumPy, data mining, Scikit-learn/ML – 5–7+ years
  • Databases & Performance: SQL, Oracle, Hive, Impala, query and processing optimization – 7+ years
  • Cloud & Modern Data Platforms: Google Cloud Platform, cloud data processing, scalable data solutions – 3–5+ years
  • AI, GenAI & Agentic AI: LLMs, AI Agents, RAG, tool/function calling, prompt engineering, agent orchestration, evaluation & guardrails – 2–3+ years AI/GenAI exposure
  • Engineering, DevOps & Automation: Linux/Unix, Shell, Git, Bitbucket, CI/CD, Control-M – 5+ years
  • Agile & Technical Delivery: Agile/Scrum, Jira, Confluence, solution ownership, technical leadership, stakeholder engagement – 5+ years



Proven ability to leverage AI tools to enhance productivity, optimise workflows to solve business problems, while applying critical judgment to ensure responsible and ethical use of data and AI outputs.


Well-being & Benefits

Emotionally and mentally balanced: we support you in dealing with life crises, maintaining stability through illness, and maintaining good mental health

  • Empowering managers who value your ideas and decisions. Show your positive attitude, determination, and open-mindedness.
  • A professional, passionate, and fun workplace with flexible Work from Home options.
  • A modern office with fun and relaxing areas to boost creativity.
  • Continuous learning culture with coaching and support from team experts.

Physically thriving we support you managing your physical health by taking appropriate preventive measures and providing a workplace that helps you thrive


  • Private healthcare and life insurance with premium benefits for you and discounts for your loved ones.

Socially connected: we strongly believe in collaboration, inclusion and feeling connected to open up new perspectives and strengthen our self-confidence and wellbeing.

  • Enjoy retailer discounts, cultural and CSR activities, employee sport clubs, workshops, and more.

Financially secure: : we support you to meet personal financial goals during your active career and for the future

  • Competitive income, performance-based promotions, and a sense of purpose.
  • 24 days holiday, loyalty days, up to 3 health days and bank holidays (including weekdays for weekend bank holidays).



We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively.
Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group.
We welcome applications from all people and promote a positive, fair and inclusive work environment.

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Bucharest, Rumänien

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