Senior Machine Learning Engineer - LLM & Voice

Wave Mobile Money is on a mission to make Africa the first cashless continent by providing accessible financial services. As a Senior Machine Learning Engineer, you will bridge research and production by building AI models and agent systems that enhance customer support, impacting millions of users across West Africa.

Responsibilities:

• Bridge research and production, building AI models and agent systems that ship into real products
• Architect, evaluate, and optimize autonomous voice and digital agents powering 10M+ customer interactions per month across West Africa
• Build for the hardest edge cases: poor connectivity, low literacy, and languages with little training data
• Experiment with, evaluate, and integrate the latest voice and text models
• Own problems end-to-end, from problem discovery to running in production, working alongside product and engineering leaders who prioritize shipping real customer impact

Requirements:

• 5+ years of experience in AI/ML engineering
• Strong Python and backend engineering skills
• Solid foundation in statistics and ML theory
• Proven hands-on experience building with LLMs (prompt engineering, RAG, embeddings, fine-tuning, agent orchestration etc.)
• Track record taking ML models from prototype to production and care deeply about reliability, performance, and scalability
• Fluency with AI coding agents, with bonus points for deploying them as part of production systems
• Fluent in English (bilingual in French is a big bonus!)
• Research background in speech or LLMs
• Proven Voice AI experience (ASR, TTS, latency optimization, real-time streaming, voice agents)
• Experience building customer support or conversational AI systems
• You follow the latest research in speech and LLMs, and know how to translate papers into production wins
• Familiarity with low-resource language challenges