Senior AI ML Engineer, Deutsche Bank

Salary not provided

AWS

Docker

GCP

Python

Django

Postgres

Tensorflow

Terraform

Azure

Spark

Pandas

Scikit-Learn

Flask

PyTorch

BigQuery

FastAPI

Senior and Expert level

Dublin

Office located in Grand Canal Square, Dublin

Investment bank and financial services company

Posted today

Investment bank and financial services company

1001+ employees

B2CB2BInvestingTradingFinancial Services

Posted today

Salary not provided

AWS

Docker

GCP

Python

Django

Postgres

Tensorflow

Terraform

Azure

Spark

Pandas

Scikit-Learn

Flask

PyTorch

BigQuery

FastAPI

Senior and Expert level

Dublin

Office located in Grand Canal Square, 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 and experience in developing high-quality, production-grade software
Experience in designing, developing, and deploying AI/ML systems using GCP services (Vertex AI, Big Query, Cloud Run, GKE, etc.)
Solid Python engineering skills with focus on data processing, model development, and deployment
Familiarity with – AI/ML: Vertex AI, Transformers, Lang Chain, Hugging Face, PyTorch, scikit-learn, Tensorflow. Data: Big Query, Apache Spark, Pandas, Postgres, Vector Databases. Infrastructure: GCP, GKE, Cloud Run, Docker, Terraform. Experience with Azure and AWS will also be considered
Familiarity with MLOps practices and CI/CD tools like GitHub Actions
Familiarity building scalable APIs using FastAPI, Django or Flask for serving AI driven applications

What the job involves

As a Senior AI / ML Engineer in the Innovation team of the TDI Chief Strategy Office you will lead technical teams to identify, evaluate, and execute data- and AI-driven innovation projects
Using advanced technologies and tools to work on pioneering projects and developing a range of innovative information and data powered solutions, involving Artificial Intelligence (AI) and Machine Learning (ML)
Designing and building high-quality software products that use AI and other advanced data-driven technologies to create sustainable value for Deutsche Bank. Working in a cross-functional team using your technical expertise to identify, evaluate and execute data- and AI-driven innovation projects
Contributing to identifying and evaluating applications of these technologies by providing your technical insight to your team and various other stakeholders across Deutsche Bank
Collaborating with cross-functional teams (product, infra, research) to scale AI/ML applications
Continuously evaluating new AI research, libraries, and frameworks to integrate into our tech stack
Communicating 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.