Senior ML Ops Engineer

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 If you’re interested, apply now or reach out to Charles Duran at IC Resources.

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