Machine Learning Engineer

Senior Voice AI Engineer

Brussels | Hybrid | 50% on site, 50% remote

Freelance 12-month contract) Start: July 2026

We’re looking for a Senior Voice AI Engineer to help build a real-time, client-facing Voice Bot for a major enterprise client in the financial services sector.

You’ll join a team of AI Dev Engineers and Data Scientists delivering a production-grade hybrid speech system combining open-source ASR/TTS/VAD models with vendor APIs, optimised for low latency, reliability, and conversational quality.

Roles & Responsibilities

• Build end-to-end streaming voice pipelines (audio → VAD → STT → LLM orchestration → TTS)
• Own real-time conversation behaviour: turn-taking, barge-in / interruption handling, end pointing & silence tuning
• Design resilient streaming systems (retries, backpressure, fallback strategies)
• Collaborate with Data Scientists on production-ready ML model integration
• Contribute to CI/CD, Dockerisation, testing, and deployment of ML services
• Support monitoring, evaluation, and lifecycle management of speech models

Skills & Qualifications

• 4+ years engineering experience, including 2+ years in production speech / voice AI systems
• Strong Python (Go/Rust/C++ a plus)
• Experience with streaming audio systems and real-time ML pipelines
• Familiarity with ASR/TTS stacks (e.g. Whisper, NeMo, wav2vec2)
• Experience with Docker, CI/CD (GitLab CI), PostgreSQL, and production ML deployment
• Strong understanding of latency (p95), WER evaluation, and conversational KPIs
• Experience in regulated environments (banking, insurance, healthcare)
• English required (French/Dutch a plus)

This is a hands-on role building real-time conversational AI systems at scale, where performance, latency, and reliability directly shape customer experience.

👉 Interested? Apply or reach out directly to [email protected]