Senior AI/ML & LLM Engineer for Production AI & RAG

REI Systems

United States

Sur place

USD 120 000 - 180 000

Plein temps

Il y a 4 jours
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Résumé du poste

REI Systems is seeking a mid-senior AI/ML & LLM Engineer to support FDA technology modernization and digital transformation initiatives. You will design, develop, evaluate, deploy, and support machine learning and Generative AI solutions to improve data analysis, automate processes, and enhance knowledge discovery.

The role requires hands-on ownership of complex AI development tasks, collaborating with data engineers, software developers, product owners, architects, cloud engineers, and business

Qualifications

  • Proven experience designing production AI/ML systems.
  • Hands-on experience building end-to-end AI/ML pipelines.
  • Strong Python development skills and production deployment experience.
  • Familiarity with RAG, NLP, and LLM-based services.

Responsabilités

  • Design, develop, test, and deploy ML/AI solutions for business needs.
  • Build ML models using structured, semi-structured, and unstructured data.
  • Create reusable Python components, APIs, and AI/ML pipelines.
  • Prepare data, engineer features, train, validate, and optimize models.
  • Evaluate algorithms for accuracy, robustness, and scalability.
  • Integrate AI capabilities into existing enterprise apps and workflows.
  • Develop proofs-of-concept and production-ready capabilities.
  • Troubleshoot data, model, and integration issues across lifecycle.

Connaissances

Python
Machine Learning
LLM Engineering
RAG
NLP
APIs

Outils

TensorFlow
PyTorch
ML Ops

Description du poste

REI Systems is seeking a mid-senior AI/ML & LLM Engineer to support FDA technology modernization and digital transformation initiatives. You will design, develop, evaluate, deploy, and support machine learning and Generative AI solutions to improve data analysis, automate processes, and enhance knowledge discovery.

The role requires hands-on ownership of complex AI development tasks, collaborating with data engineers, software developers, product owners, architects, cloud engineers, and business

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