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Deutsche Bank

GenAI/ML Expert (f/m/x)

  • Remote
  • 6+ years

Salary

Not stated

Similar roles pay €75K - 100K a year · our estimate

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Description

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.

Requirements

  • 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.

Where you’d work

Fully remote

About the company

Deutsche Bank

  • Industry: FinTech

Offices in Bucharest, Romania, Romania

Also hiring in Italy, London, United Kingdom, United Kingdom and 9 more places

7 of their 56 open roles are remote

Your chances

Worth a look before you spend an evening tailoring a CV for it.

  • 19 checks run
  • 2 red flags

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2 red flags

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Details11 facts · Role, Location, Compensation, Employment, Company
Tech stack
  • Python
  • SQL
  • Google Cloud
  • Spark
  • BigQuery
  • LLMs
  • RAG
  • scikit-learn
Type
Full-time
Industry
FinTech
Specialty
ML
Region
Europe
Pay period
Annual
Show 5 more factsShow less

Role

Category
Data & Analytics
Specialty
ML
Experience
7+ years
Tech stack
  • Python
  • SQL
  • Google Cloud
  • Spark
  • BigQuery
  • LLMs
  • RAG
  • scikit-learn

Location

Work model
Remote
Region
Europe
Offices
  • Bucharest, Romania
  • Romania

Compensation

Salary
Salary by agreement
Pay period
Annual

Employment

Type
Full-time

Company

Industry
FinTech

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