An experienced mid-to-senior empirical AI/ML Engineer who focuses on shipping production-ready solutions rather than pure research. They possess strong Python skills and deep experience in audio processing, speech-to-text models, and low-latency systems. The ideal candidate has owned ML projects end-to-end—from problem framing to measurable results—and has built Voice AI systems for resource-constrained, on-premise hardware. On-site in Paris, France.

An experienced mid-to-senior empirical AI/ML Engineer who focuses on shipping production-ready solutions rather than pure research. They possess strong Python skills and deep experience in audio processing, speech-to-text models, and low-latency systems. The ideal candidate has owned ML projects end-to-end—from problem framing to measurable results—and has built Voice AI systems for resource-constrained, on-premise hardware. On-site in Paris, France.