Lead the design and implementation of scalable ML pipelines and data processing components for the analysis of high-volume sensor data and drive engineering best practices in the team. * Collaborate closely with , , , and domain experts to shape system architecture and ensure ML solutions integrate cleanly into the overall product landscape. * You have 5+ years of professional experience in software engineering or ML engineering, including experience with production ML or other data-intensive systems. * You have a deep understanding of the MLOps lifecycle, including data and model versioning, deployment, monitoring, and continuous improvement. * Ideally, you have worked with real-time or near-real-time applications, streaming data, or IoT scenarios and understand the constraints of edge deployments.
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