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AI Engineer — Autonomous Drone Route Optimisation

Hassan Al-Farsi

Full-time · Senior

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About the role

We operate drone delivery for medical supplies in rural Ghana and Kenya. Our fleet of 15 drones makes 80+ deliveries per day. Currently routes are planned manually by a dispatcher. We want to automate multi-drone route planning — given a set of delivery orders, weather data and battery constraints, find the optimal assignment of orders to drones and the optimal flight path for each. This is a combinatorial optimisation problem. We're open to RL, heuristic approaches, or hybrid methods — we care about solutions that work in the real world, not the theoretically optimal approach.

Requirements

  • – Combinatorial optimisation or multi-agent planning experience
  • – Python, simulation environments
  • – Familiarity with VRP (vehicle routing problem) variants is strongly preferred
  • – Comfortable iterating with an operations team who will tell you when the model is making bad decisions

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Categories

AI & Machine Learning Engineers

Skills

python reinforcement learning pytorch docker

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Job Type

Full-time

Level

Senior

Language

English

Salary Range

$120k – $160k / year

AI Expertise

AI & Machine Learning Engineers

Skills

python reinforcement learning pytorch docker

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