Hybrid Principal Data Science Engineer

Posted 1 hour ago

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About the role

  • Principal Data Science Engineer at Qodea leading development of AI-driven reasoning tools and recommendation systems. Collaborating to bridge advanced analytics with practical implementation in Buenos Aires.

Responsibilities

  • Lead the development of advanced recommendation systems and AI-driven reasoning tools.
  • Design hybrid inference systems that combine LLM outputs with structured data sources like knowledge graphs.
  • Implement data vectorization techniques for both text and graph data.
  • Research and apply novel graph-based technologies and algorithms to solve complex problems.
  • Architect solutions that are robust, reliable, and capable of scaling to production environments.
  • Influence company strategy by anticipating future needs and delivering through ambiguity.

Requirements

  • Expert understanding of graph data modelling and analytics using tools like Neo4j.
  • Hands-on experience integrating LLMs for tasks such as text analysis and data mapping.
  • Proficient in prompt engineering and guiding LLM behaviour for specific business outcomes.
  • Solid experience with distributed computing frameworks for large-scale data transformation.
  • A proven track record of expressing well-reasoned perspectives to drive the best technical outcomes.

Benefits

  • 10 days PTO + 17 days paid public holidays
  • Pension
  • Law 19032 (Social Security)
  • Family allowance
  • National Employment Fund
  • Accident Insurance
  • Life Insurance
  • Work from Home Allowance
  • Private Medical Insurance
  • Birthday leave
  • 10 paid learning days per year
  • Bonusly 100 points per month to recognise colleagues

Job title

Principal Data Science Engineer

Job type

Experience level

Lead

Salary

Not specified

Degree requirement

Postgraduate Degree

Tech skills

Location requirements

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