Leads machine-learning projects from technical goal-setting through development and validation, coordinating stakeholders and small teams on edge AI and mobility algorithms. Primarily remote.
About this role
Idein, which builds edge AI and runs devices at scale through its Actcast platform, is hiring a lead-class Machine Learning Engineer for next-generation mobility AI built on its own technology, in its contract-development AI department. The lead guides development of machine-learning algorithms that solve domain problems, in company projects and client projects, and contributes not only by building but also from a leadership position.
The phases covered are requirements, technical investigation, development and validation; operation and maintenance are not included. The lead steers development with team members, handles technical exchanges and expectation-setting with outside stakeholders, develops algorithms for varied sensor data, turns vague domain requests into well-defined problems, surveys methods, implements and runs evaluation experiments, invents original methods, and slims and optimises models to run on edge devices. Python and PyTorch are used, with models sometimes optimised for in-vehicle computers and deployed to Raspberry Pi or Jetson. Past client work includes driver-monitoring efficiency, an edge AI camera and a multimodal agent.
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