Ai Data Scientist - Vice President

Deutsche Bank UK

Cary, North Carolina, US
Base: $125,000 to $185,000; bonus/equity: not spec...
Hybrid
Llm-first approaches
Semantic clustering
Embedding and vector pipelines
Leverage cutting-edge LLM-first approaches to drive exploratory data analysis and rapid semantic clustering

Job Summary

  • Leverage cutting-edge LLM-first approaches to drive exploratory data analysis and rapid semantic clustering.
  • Scale prompt-based prototypes into cost-effective embedding and vector pipelines, ensuring both efficiency and accuracy.
  • Process and analyze terabytes of diverse data, including legacy system logs, to map operational workflows.

Matching Summary

Leverage cutting-edge LLM-first approaches to drive exploratory data analysis and rapid semantic clustering.

Salary

Base: $125,000 to $185,000; Bonus/Equity: Not specified; Benefits: Not specified

Skills & Requirements

Must-have

  • LLM-first approaches
  • semantic clustering
  • embedding and vector pipelines
  • taxonomy mapping automation
  • prompt evaluation
  • LLM-as-a-judge frameworks
  • Python ecosystem
  • statistical evaluation

Nice-to-have

  • unstructured data processing
  • LlamaIndex contributions
  • LangChain contributions
  • dynamic routing
  • softmax-based thresholding

Key Requirements

  • Mastery of prompt evaluation
  • Expertise in embeddings tuning
  • Expertise in K-means
  • Expertise in graph clustering
  • Experience with RAGAS or TurLens
  • Proven ability to design dynamic routing or softmax-based thresholding pipelines

Work Rights

Not specified

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