Engineer - Applied Machine Learning

Unisys

Applied machine learning
Ml pipelines
Large-scale text analytics
Contribute to defining and communicating the technological roadmap for large-scale knowledge curation and analytics, ensuring alignment with company objectives and maintaining our leadership position in the market

Job Summary

  • Contribute to defining and communicating the technological roadmap for large-scale knowledge curation and analytics, ensuring alignment with company objectives and maintaining our leadership position in the market.
  • Drive research initiatives exploring state-of-the-art techniques in large-scale text analytics, clustering, topic modeling, and advanced LLM prompting strategies, integrating relevant findings into the product.
  • Become part of our "Winning Culture" and work on prestigious clients worldwide.

Matching Summary

Contribute to defining and communicating the technological roadmap for large-scale knowledge curation and analytics, ensuring alignment with company objectives and maintaining our leadership position in the market.

Skills & Requirements

Must-have

  • Applied Machine Learning
  • ML pipelines
  • large-scale text analytics
  • LLM prompting strategies
  • Python machine learning libraries
  • Spark distributed computations

Nice-to-have

  • proactive and hands-on
  • technological vision
  • continuous learning
  • Winning Culture

Key Requirements

  • 5 years software engineering/machine learning
  • 3+ years LLM-based solutions production
  • Algorithms and data structures knowledge
  • Grasp new technologies very quickly
  • Work effectively independently and team

Work Rights

Not specified

Tailored Resume

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