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
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