Base: $125,000 to $185,000; bonus/equity: not spec...
Hybrid
Mastery of python ecosystem and statistical evaluation
Expertise in embeddings tuning and graph clustering
Experience with ragas or turlens continuous evaluation pipelines
This role leverages cutting-edge LLM-first approaches to drive exploratory data analysis and rapid semantic clustering within Deutsche Bank's technology solutions
Job Summary
This role leverages cutting-edge LLM-first approaches to drive exploratory data analysis and rapid semantic clustering within Deutsche Bank's technology solutions.
The successful candidate will scale prompt-based prototypes into cost-effective embedding and vector pipelines while ensuring efficiency and accuracy.
Deutsche Bank offers a hybrid working model, competitive compensation packages, and a diverse environment that embraces innovation and collaboration.
Matching Summary
This role leverages cutting-edge LLM-first approaches to drive exploratory data analysis and rapid semantic clustering within Deutsche Bank's technology solutions.
Salary
Base: $125,000 to $185,000; Bonus/Equity: Not specified; Benefits: Health, retirement, parental leave included
Skills & Requirements
Must-have
Mastery of Python ecosystem and statistical evaluation
Expertise in embeddings tuning and graph clustering
Experience with RAGAS or TurLens continuous evaluation pipelines
Ability to process terabytes of legacy system logs
Knowledge of prompt evaluation and LLM-as-a-judge frameworks
Nice-to-have
Contributions to retrieval or chunking modules
Experience processing unstructured data with NLP
Dynamic routing or softmax-based thresholding pipelines
Key Requirements
Vice President corporate title level
Deep knowledge of Python ecosystem
Proven ability to design dynamic routing pipelines