Job 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
Responsibilities:
- Collaborate with Global region stakeholders to identify Business needs and translate them into workable production ready solution.
- Creating data transformation infrastructure, managing data ingestion, for AI/ML related processes
- Transforming models into production-ready APIs, microservices, and software applications. Monitoring model performance, ensuring scalability, and updating systems to maintain accuracy.
- Building and maintaining the necessary IT infrastructure (cloud platforms like AWS/GCP, containerization) for AI development.
- Implement algorithms for personalization and anomaly detection aligned with compliance requirements.
- Working with data scientists, engineers, and product managers to define AI strategies and implement features.
- Ensure robust documentation of AI processes, standards, and controls in line with the Bank’s data governance policies.
- Participate in Agile ceremonies and contribute to sprint planning, backlog grooming, and delivery cycles.
- Stay current with emerging AI trends, including Generative AI and large language models (LLMs), and be prepared to integrate these advanced techniques into solutions where they can drive significant business value.
- Support the production of scalable and optimised AI/machine learning (ML) models
- Focus on building algorithms for the extraction, transformation and loading of large volumes of real time, unstructured data to deploy AI/ML solutions
- Run experiments to test the performance of deployed models and identifies and resolves bugs that arise in the process.
- Work in a team setting and apply knowledge in statistics, scripting and programming languages required by the firm.
- Work with the relevant software platforms in which the models are deployed.
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.
- A modern office with fun and relaxing areas to boost creativity.
- Continuous learning culture with coaching and support from team experts.
- A culture where you can openly speak about mental health.
*Physically thriving: *We support you in managing your physical health by taking appropriate preventive measures and providing a workplace that helps you thrive. For example, Private healthcare and life insurance with premium benefits for you and discounts for your loved ones, healthier ways of working and check-ups.
*Socially connected: *We strongly believe in collaboration, inclusion and feeling connected to open up new perspectives and strengthen our self-confidence and well-being.
- 24 days holiday, loyalty days, and bank holidays (including weekdays for weekend bank holidays).
- Hybrid working model with 40% remote work.
- Options for flexible working hours.
- Enjoy retailer discounts, cultural and CSR activities, workshops, and more.
*Financially secure: *We support you in meeting personal financial goals during your active career and for the future.
- Competitive income, performance-based promotions, and a sense of purpose.
- Meal vouchers, bonuses for referrals
Interested in more: discover what our employees value in the Well-being & Benefits hub!
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.
Skills:
- Bachelor’s or Master’s degree in Artificial Intelligence / Data Science / Computer Science / Information Technology / Programming & System Analysis / Computer Studies / data science or a related field, with a minimum of 3 years of professional experience as a AI Engineer
- Proficient in Python, with a strong command of advanced syntax, popular libraries, and the ability to extend existing structures. Exhibits proficiency in Object-Oriented Programming (OOP) by implementing S.O.L.I.D. principles and in data structures & algorithms by analysing complexities and making efficient choices (e.g., Numpy vs. Pandas).
- Proficient in applying Generative AI by using, understanding, and tuning large language models (LLMs) for diverse scenarios. Skilled in architecting solutions that augment core models with external logic and tools (e.g., Retrieval-Augmented Generation or MCP) and in developing complex, end-to-end multi-agent systems using services like ADK, DialogFlow, or equivalent cloud services.
- Demonstrates basic knowledge and practical experience in core software engineering practices, including navigating operating systems, programming and querying languages (e.g., Java, SQL), version control (e.g., Git), development methodologies (Agile, Waterfall), CI/CD concepts (e.g., Jenkins), testing principles, and monitoring. Possesses a foundational understanding of design patterns, software architecture, and core cloud technologies (e.g., GCP, AWS, or Azure).
- Demonstrates basic knowledge in the theoretical and practical application of machine learning / deep learning.
- Capable of conducting code reviews for team members if needed
- Shows proficiency in the end-to-end data lifecycle, including advanced data engineering across traditional and cloud databases with a focus on query optimization. Highly skilled in data preprocessing, from comprehensive cleaning and encoding to advanced feature creation. A proficient communicator, capable of translating complex technical findings into clear, influential data stories for diverse audiences, including senior leadership. Possesses a foundational ability to create data visualizations (e.g., using Tableau) to support insights.
- Strong analytical and problem-solving skills and Excellent communication skills, both written and verbal.
- Ability to work independently and collaboratively in the context of global cross-functional teams. Familiarity with Agile methodologies and user story documentation.
