Our client is a fast‑growing audio AI product company building cutting‑edge machine learning technology that enhances how people experience sound across digital platforms. Their flagship products use ML and signal processing to deliver real‑time audio quality improvements at scale — deployed across cloud, edge and embedded environments.
The role
A high‑impact MLOps role owning end‑to‑end ML pipelines — from data through training, evaluation and deployment. You’ll work closely with audio ML researchers and DSP engineers to move models into production, implement monitoring, build CI/CD pipelines and ensure reproducibility across the full model lifecycle. There is also a mentoring element, helping establish engineering standards across a small ML team.
What They’re Looking For
- Proven experience building and operating production ML systems
- Strong Python and ML frameworks (PyTorch, TensorFlow)
- MLOps, CI/CD and model lifecycle management
- Cloud platforms (AWS, GCP or Azure) and containers / Kubernetes
- Experience with low‑latency or real‑time systems; familiarity with audio or speech processing a plus
- Mentoring or technical leadership experience desirable
#J-18808-Ljbffr…