+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!
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.
QED (https://qed.ai) builds data systems and AI for health and agriculture. It is a fully mission-driven technology company, working on humanitarian projects aligned with SDGs 2, 3, 6, and 15, usually based in East Africa or South Asia.
With each project, we aim to empower organizations that have outstanding goals, by shaping and redirecting tech to align with their circumstances on the ground such that they can better collect, manage, and analyze the data needed to inform policy decisions.
Since its inception, QED has been providing mission-critical support for many international projects in countries such as Kenya, Tanzania, Uganda, Ethiopia, Nigeria, South Africa, Nepal, India, Taiwan, and Mexico.
