Machine Learning Scientist

5 years of ML experience Strong proficiency in Python and common ML libraries Solid theoretical foundation in stats and ML. Experience working with voice agents Proven hands-on experience building with LLMs or NLP systems (prompt engineering, RAG, embeddings, fine-tuning, etc.). Experience taking ML models from prototype to production and care deeply about reliability, performance, and scalability. Fluent in English

Architect and ship autonomous voice and digital agents that power 10M+ customer interactions per month across West Africa. Own end-to-end agent systems from core models through multi-channel orchestration, architecting solutions that work reliably where connectivity is poor, literacy can be low, and most languages lack training data. Drive real ownership, from problem discovery to running in production, working alongside product and engineering leaders who prioritize shipping real customer impact. Shape that future by solving genuinely hard technical problems where systems either work or they fail.