The Deep Learning Indaba Talent Pipeline

๐Ÿข Amini ยท all Amini jobs
๐Ÿ“ South Africa
๐Ÿ“… Posted 2026-08-05 ยท via Himalayas
๐Ÿท Engineering,Software-Engineer,Machine-Learning,Data-Science,Hardware-Engineering,Product-Management,R&D,Talent-Development-In-AI,Deep-Learning-Intern
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About Amini

Amini builds the sovereign, AI-native infrastructure stack for Africa and the Global South: the data, compute, and connectivity that let governments and enterprises own their digital future instead of renting it from someone else. We already work with governments across a dozen countries and our work has been recognised by TIME100 AI, MIT Solve, and the World Economic Forum. Put simply, we help our partners put AI to work in ways that actually move the needle, and we make sure that opportunity doesn't stay locked up in a handful of countries.

We live by five values: Collaboration, Trust, Integrity, Humility, and Passion. That's not a poster on the wall. It shows up in how we work day to day: sharing credit and information by default, being upfront about what we don't know yet, and owning a mistake early instead of protecting an ego.

We're small, sharp, and deliberately non-hierarchical. Everyone here knows the work is genuinely transformational, but we try to stay humble about it. We want people who'll bring their full skill set, share ideas without ego, and help us grow our impact, from the governments and communities we already serve today into something much bigger across Africa and the Global South and the AI industry at large.

We're three years in and hitting a genuinely exciting point. The early years were about proving the model. Having done that with governments in specific regions we're now scaling into multiple global regions at once, and that means we need sharp people across more disciplines than ever.
Why We're At the Indaba

This year's Indaba theme, Sovereign Intelligence: Africa's Path in a Frontier AI World, is basically a description of what we do at Amini every single day. We build the sovereign data, compute, and connectivity infrastructure that lets African governments and enterprises own and direct their own AI future, instead of depending on outside platforms. We are excited to meet like minded AI practitioners and technologists with the talent, ideas, and ambition, that's why we're in Lagos, and why we want to meet you there.
About This Talent Pipeline

This isn't a job ad for one role. It's how we're building our talent pipeline, straight from the Deep Learning Indaba community: researchers, students, and practitioners from across Africa and beyond who believe the continent's AI future should be built and owned here. Amini is scaling fast across Software Engineering, Hardware Engineering, Data Science, Machine Learning, Ops, and Commercial, and we'd rather start building a relationship with great people now, before we have the exact role that fits.

Register your interest and you're in the pool of candidates our team actively reviews as new roles open. We'll reach out directly the moment there's a match, whether that's in a few weeks or once we've launched in a new market.
Why Amini

- Real impact, not theoretical impact: we work directly with governments across the Global South, building infrastructure that hands countries back ownership of their own digital and AI future.

- The recognition follows the work: TIME100 AI, MIT Solve, and the World Economic Forum have all taken notice of what we're building.

- You'd be joining at exactly the right moment: we're moving from proving the model in one market to scaling across several at once, a genuinely rare stage to join.

- A culture that's actually flat: small, sharp, non-hierarchical teams who share credit, share information, and admit what they don't know.

- Your work won't disappear into a big organisation: our teams are small enough that what you do has a direct line to real outcomes for governments and citizens.

- Fully remote working

- Travel opportunities

- Competitive salary and benefits package

Where We Will be Hiring

We're an infratech company building sovereign data, compute, and connectivity, so we hire across a genuinely wide spread of disciplines, and we expect this list to keep growing as we scale:

- Software

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