AI Data Scientist — LLMs & Knowledge Graphs, Flexible Work

Siemens Mobility

Livonia (MI)

Hybrid

USD 110,000 - 198,000

Full time

6 hours ago
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Benefits offered by this job

Health and wellness benefits
Hybrid/remote work flexibility

Job summary

Siemens Software in the United States is seeking an experienced AI Developer specializing in Large Language Models, ontologies, and knowledge graphs to design AI-driven knowledge discovery and retrieval solutions. You will build scalable NLP pipelines, apply state-of-the-art LLM techniques, and work with Python, TensorFlow/PyTorch, and graph databases to deliver production-ready features.

The role offers hybrid work, competitive salary, and comprehensive benefits, with emphasis on collaboration

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or related field.
  • 6-10+ years of professional experience including SDLC.
  • 3-5 years developing AI applications with LLMs and NLP techniques.
  • Strong background in knowledge representation and semantic technologies (ontologies, RDF, OWL, SPARQL).
  • Proficiency in Python and ML frameworks like TensorFlow or PyTorch.

Responsibilities

  • Research and apply advancements in knowledge representation, LLMs, and semantic search to enhance capabilities.
  • Document development processes, architecture, and APIs for maintainability and knowledge sharing.

Skills

AI development
Knowledge representation
Python
NLP
Communication

Education

Bachelor’s or Master’s in CS/AI

Tools

TensorFlow
PyTorch
SPARQL
Neo4j
RDF/OWL

Job description

Siemens Software in the United States is seeking an experienced AI Developer specializing in Large Language Models, ontologies, and knowledge graphs to design AI-driven knowledge discovery and retrieval solutions. You will build scalable NLP pipelines, apply state-of-the-art LLM techniques, and work with Python, TensorFlow/PyTorch, and graph databases to deliver production-ready features.

The role offers hybrid work, competitive salary, and comprehensive benefits, with emphasis on collaboration

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