Global team of tech specialists, spread across multiple trading hubs and tech centres. We have a strong focus on promoting technical excellence – our engineers work at the forefront of financial services innovation using cutting-edge technologies.
Our location is our most recent addition to our global network of tech centres and growing strongly. We are committed to building a diverse workforce and to creating excellent opportunities for talented engineers and technologists. Our tech teams and business units use agile ways of working to create solutions from our home market.
Tasks
Design and Development of AI models in particular within area of Natural Language Processing and GenerativeAI
Broad knowledge to explore, implement, train and evaluate identified AI models and their respective MLOPs activities with Python and Project Jupyter toolset.
Deep experience in developing self-service analytics solutions using Python and SQL. Adopt to hybrid and native cloud technologies with OpenShift and Google Cloud Platform.
Driving software engineering principles within the team adopting market’s best practices alongside with DB’s principles and procedures to deliver high-quality solutions through coding, system testing and documentation.
Enhance existing data-driven solutions regarding data ingest, transformation, reporting and machine learning capabilities. Identify automation opportunities and develop solutions that simplify data delivery processes and make them more efficient with AI workflows.
Knowledge in product management to shape future AI solutions based on entire lifecycle from defining requirements with stakeholders until their deployment of implemented features.
Requirements
Master’s degree (or equivalent) from an accredited college or university (or equivalent) in a quantitative field (Mathematics, Statistics, Physics, Engineering, Computer Science etc.) or equivalent work experience ideally in the banking industry.
Multiple years’ experience as data scientist or AI engineer ideally using Python, SQL and Docker Micro Services
Experience on development frameworks for both frontend and backend (e.g. Python Pandas, NumPy, Flask)
Deep knowledge of big data analytics/AI architectures (i.e. Data Warehousing, ETL) on hybrid cloud environments in particular OpenShift and Google Cloud Platform (GCP)
Multiple years of experience in finance industry, internal audit functions or high regulated environments is considered a plusEmotionally and mentally balanced A positive mind helps us master the challenges of everyday life – both professionally and privately. We offer consultation in difficult life situations as well as mental health awareness trainings.
Physically thriving We support you in staying physically fit through an offering to maintain personal health and a professional environment. You can benefit from health check-ups; vaccination drives as well as advice on healthy living and nutrition.
Socially connected Networking opens up new perspectives, helps us thrive professionally and personally as well as strengthens our self-confidence and well-being. You can benefit from PME family service, FitnessCenter Job, flexible working (e.g parttime, hybrid working, job tandem) as well as an extensive culture of diversity, equity and inclusion.
Financially secure We provide you with financial security not only during your active career but also for the future. You can benefit from offerings such as pension plans, banking services, company bicycle or “Deutschlandticket”.