TOUMAI

Offres d'emploi chez TOUMAI

QA / Voice AI Validation Engineer

Témara, Rabat-Salé-Kénitra, Morocco

ToumAI recherche un QA / Voice AI Validation Engineer pour garantir la qualité et la fiabilité de ses systèmes d'IA vocale. Le rôle implique la validation de pipelines vocaux de bout en bout, l'analytique automatisée et les workflows agentiques, avec un accent sur la précision, la latence et la robustesse dans des environnements multilingues réels. Le candidat idéal possède une expérience en QA pour des systèmes basés sur l'IA, une attention aux détails et la capacité de collaborer avec des équipes pluridisciplinaires.

Publié 2 days ago

Data Scientist – Analytics (QMS / VoC)

Témara, Rabat-Salé-Kénitra, Morocco

ToumAI is seeking a Data Scientist – Analytics to design and implement analytics and AI models for Quality Monitoring Systems (QMS) and Voice of Customer (VoC) applications. The role involves extracting actionable insights from customer interactions, computing KPIs, developing NLP-based analytics, and powering enterprise dashboards. The ideal candidate has solid data science experience, strong Python and NLP skills, and the ability to collaborate with business stakeholders to define and validate KPIs.

Publié 2 days ago

Data Scientist R&D - Speech & Voice AI (Low-Resource Languages)

Témara, Rabat-Salé-Kénitra, Morocco

ToumAI is seeking a Data Scientist specializing in speech and voice AI R&D to research, develop, and optimize speech models for production Voice AI platforms. The role focuses on end-to-end speech pipelines including STT, diarization, emotion recognition, and language identification, with emphasis on low-resource languages like Moroccan Darija. You'll work on real-world deployment challenges including accuracy, latency, and on-device optimization, bridging applied research with production systems used in voicebots, APIs, and SDKs.

Publié a month ago

Data Scientist R&D - Speech & Voice AI (Fixed-Term Contract)

Témara, Rabat-Salé-Kénitra, Morocco

ToumAI is seeking a Data Scientist R&D with a focus on speech and voice AI to research, develop, and optimize speech models for Voice AI platforms and on-device solutions. The role involves working on end-to-end speech pipelines, including STT, diarization, emotion recognition, and language identification, with a particular emphasis on low-resource languages like Moroccan Darija. The position bridges applied research and real-world deployment, requiring expertise in machine learning, PyTorch, and audio data pipelines, while optimizing for accuracy, latency, and efficiency.

Publié a month ago