Lead AI Engineer, Deutsche Bank

Salary not provided

GCP

Python

Tensorflow

Spark

Scikit-Learn

Senior and Expert level

Dublin

Investment bank and financial services company

Be an early applicant

Investment bank and financial services company

1001+ employees

B2CB2BInvestingTradingFinancial Services

Be an early applicant

Salary not provided

GCP

Python

Tensorflow

Spark

Scikit-Learn

Senior and Expert level

Dublin

1001+ employees

B2CB2BInvestingTradingFinancial Services

Company mission

To be the leading global provider of financial solutions for demanding clients, creating exceptional value for its shareholders and people.

Job

Company

Role

Who you are

Experience in applying AI, machine learning and/or data science in business and/or academia
Several years of experience in leading technical teams that develop high-quality, production-grade software
Strong knowledge of Python and ideally one other programming language, as well as relevant data science or engineering frameworks (e.g., scikit-learn, TensorFlow, Spark, LangChain etc.). Knowledge of GCP or another major cloud platform. You live and breathe principles of good engineering, architecture and professional software development. Experience building solutions that leverage LLMs
Comfortable working with and managing uncertainty, ambiguity and different levels of stakeholders. You should feel just as comfortable presenting the pros and cons of a new architecture to senior management as you are debugging a cryptic error message with your team

What the job involves

Design and build high-quality software products that use AI and other advanced data-driven technologies to create sustainable value for Deutsche Bank
Practice hands-on and servant technical leadership, enabling, supporting, and guiding your team of engineers. Stay close to the code and jump in to solve the hardest problems
Responsible for the technical delivery of innovation projects and act as a trusted advisor to your team and Deutsche Bank
Work in a cross-functional team using your technical expertise to identify, evaluate and execute data- and AI-driven innovation projects
Contribute to identifying and evaluating applications of these technologies by providing your technical insight to your team and other stakeholders across Deutsche Bank
Communicate technical concepts and results effectively to both technical and non-technical audiences, and measure success by the business value your solutions generate

Our take

Despite its roots in the nineteenth century, Deutsche Bank has seen strategic transformation at countless stages to remain competitive. For example, it recently launched Vert, a new digital payments company for SMEs, in collaboration with Fiserv. As a result, the company successfully filled the gap in the market for a user-friendly, all in one solution which would enable merchants to accept payments and manage money.

The company continues to benefit from its scale and reputation. Despite ongoing criticisms, its strong European ties and a global network means Deutsche Bank is well placed to help clients navigate through geopolitical and macroeconomic shifts, something that can’t be said so confidently of its competitors. Today, it operates in circa 60 countries.

Moving forwards, the company is focused on aligning more closely to environmental, social and governance (ESG) criteria to facilitate over €500B in sustainable finance and investments between 2020 and 2025.