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QED.ai, formally known as Quantitative Engineering Design, develops data systems and artificial intelligence solutions focused on human health and agriculture. It builds sustainable AI driven tools and platforms to overcome data scarcity in these domains in support of humanitarian and development projects.

Basic Requirements

  • +3 years of experience in machine learning, preferably in computer vision

  • Respectable track record in competitive data modeling, and/or notable research achievements.

  • Well-versed with the latest trends with top-performing tools and the ML research community.

  • Strong fluency in both Python and in the main AI-related tools of the trade

  • Strong skills in logical reasoning and critical thinking, and the confidence to both express it and also receive constructive feedback through daily code review

  • Non-superficial intuitions about AI, beyond import blackbox

  • Highly preferred full-time employment of at least 40 hours per week. Promising students with exceptional skills should contribute at least 24 hrs/week.

  • Good fluency in English speaking and writing (typing > 35 wpm).

  • Critical thinking skills, expressiveness, and team-oriented attitude.

  • And you have to care about the work that you do!

Nice to haves

  • Working knowledge of statistics and basic probability.

  • Experience working with enterprise data warehouse software and/or data processing pipelines.

  • Experience working with datasets that cannot fit on a desktop, and systems engineering techniques for overcoming these constraints.

  • Evidence of leadership and team-building skills.

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