ML/AI Engineer

About the role

Build, deploy and serve machine learning models in production, focusing on inference speed, latency and GPU efficiency. The work centers on speech recognition, including third-party and self-hosted ASR, and extends to LLM-based features. Requires 4+ years of ML experience, strong Python, Linux, PyTorch or TensorFlow, MLOps, Docker, and real-time streaming experience.