
Senior AI / ML Engineer
- Southside Dublin
- Permanent
- Full-time
- Hybrid Working - we understand that employee expectations and preferences are changing. We have implemented a model that enables eligible employees to work remotely for a part of their working time and reach a working pattern that works for them
- Competitive salary and non-contributory pension
- Minimum of 25 days’ holiday plus bank holidays
- Life Assurance and Private Healthcare for you and your family
- A range of additional benefits including TaxSaver Travel Scheme, Bike4work and Retail Discounts
- The opportunity to support a wide-ranging CSR programme + 2 days’ volunteering leave per year
- 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
- 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
- Training and development to help you excel in your career
- Coaching and support from experts in your team
- A culture of continuous learning to aid progression
- A range of flexible benefits that you can tailor to suit your needs
- We value diversity and as an equal opportunities’ employer, we make reasonable adjustments for those with a disability such as the provision of assistive equipment if required (e.g. screen readers, assistive hearing devices, adapted keyboards)