QED.ai
Data Scientist – Lilongwe
Malawi
- Salary
- Not stated
- Level
- Mid
- Work type
- Not stated
- Visa
- Not stated
Open. First seen 3 October 2026.
The team: Engineering
This role is one of 9 open in Engineering.
WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS
Kubernetes (4 of 9), Python (4 of 9), Android (3 of 9), Computer Vision (3 of 9), Linux (3 of 9), Terraform (3 of 9), Data Warehousing (2 of 9)
OTHER ROLES ON THIS TEAM
- Lead Infrastructure Engineer posted Jun 1
- IT Operations Specialist posted Apr 16
- Data Scientist – Warsaw posted Feb 18
- Data Platform Engineer posted Dec 22
- Software Engineer – Warsaw posted Dec 15
- Infrastructure Engineer posted Dec 15
- Data Analyst – Lilongwe posted Mar 13
- Android Developer – Warsaw posted Dec 4
From the team and dates on QED.ai's own job board.
About the role
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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