AI/ML Engineer
at Deutsche Bank
London, England, United Kingdom -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 29 Nov, 2024 | Not Specified | 29 Aug, 2024 | N/A | Data Warehousing,Devops,Data Engineering,Python,Java,Scala,Programming Languages | No | No |
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Description:
POSITION OVERVIEW
Job Title AI/ML Engineer
Location London
Corporate Title Assistant Vice President
Compliance Technology group is focused on building models to detect market abuse risk. The team is seeking to hire an experienced AI/ML Engineer with strong data engineering skills, knowledge of investment trade flows and expertise in Generative AI (GenAI), large language models (LLMs), and Google Cloud Platform (GCP).
You will have a solid understanding of AI/ML technologies, proficiency in managing and optimizing data pipelines, and experience deploying AI solutions at scale using GCP. This role will involve working closely with cross-functional teams to design, develop, and implement AI-driven solutions that leverage cutting-edge technologies to solve complex business problems.
YOUR SKILLS AND EXPERIENCE
- Experience in AI/ML development, with a focus on GenAI and LLM . for e.g. (desirable but not limited to) - different prompting strategies, model quantization, use of llm/agentic frameworks, etc.
- Hands-on experience with GCP services, including BigQuery, Terraform, Vertex AI, Cloud Run and related tools
- Strong background in data engineering, including experience with ETL processes, data warehousing, and data processing frameworks
- Prior experience working in investment bank will be preferred
- Proficiency in programming languages such as Python, Java, or Scala. Expertise in machine learning frameworks and libraries (e.g., TensorFlow, PyTorch)
- Familiar with CI/CD pipelines, DevOps, MLOps practices and tools
ABOUT US
Deutsche Bank is the leading German bank with strong European roots and a global network. Click here to see what we do.
Deutsche Bank in the UK is proud to have been named a The Times Top 50 Employers for Gender Equality 2024 for five consecutive years. Additionally, we have been awarded a Gold Award from Stonewall and named in their Top 100 Employers 2024 for our work supporting LGBTQ+ inclusion.
Our values define the working environment we strive to create – diverse, supportive and welcoming of different views. We embrace a culture reflecting a variety of perspectives, insights and backgrounds to drive innovation. We build talented and diverse teams to drive business results and encourage our people to develop to their full potential. Talk to us about flexible work arrangements and other initiatives we offer.
We promote good working relationships and encourage high standards of conduct and work performance. We welcome applications from talented people from all cultures, countries, races, genders, sexual orientations, disabilities, beliefs and generations and are committed to providing a working environment free from harassment, discrimination and retaliation.
Visit Inside Deutsche Bank to discover more about the culture of Deutsche Bank including Diversity, Equity & Inclusion, Leadership, Learning, Future of Work and more besides
Responsibilities:
- Design, develop, and implement AI models, including LLMs and GenAI, to solve business challenges
- Build, maintain, and optimize data pipelines and ETL processes to ensure the smooth ingestion, processing, and transformation of large datasets
- Deploy and manage AI/ML solutions on GCP, utilizing services such as Cloud Run, Dataflow, Cloud Composer, Bigquery, Cloud SQL, Vertex AI Pipelines, and others
- Continuously monitor and improve the performance, scalability, and reliability of AI models and data pipelines.
- Create comprehensive documentation for AI models, data pipelines, and cloud deployments to ensure knowledge transfer and maintainability.
REQUIREMENT SUMMARY
Min:N/AMax:5.0 year(s)
Information Technology/IT
IT Software - Other
Software Engineering
LLM
Proficient
1
London, United Kingdom