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Analyze, contextualize, visualize, and present aquaculture data to generate actionable insights. Work closely with customers and internal teams to define goals, guide decision-making, benchmark, and explore new data applications to improve feeding and production outcomes.

Validate and maintain high-quality customer data for machine vision systems. Review customer data for accuracy, document QA methods, identify patterns and edge cases, support model and feature improvements, and participate in sampling activities and fieldwork.

Develop software and systems for embedded platforms at Aquabyte, focusing on sensor interfaces, network reliability, and hardware diagnostics while collaborating with research teams on machine learning models.

The DevOps Engineer will manage remote IoT device software deployment, enhance hardware reliability, and automate configuration processes. Responsibilities include improving monitoring and observability, troubleshooting, and interfacing with customer IT teams.

Design and execute applied research projects with aquaculture partners; deploy and support field research hardware; handle fish during experiments; annotate and analyze data; maintain and troubleshoot cameras, sensors, networks; build dashboards and automation; transition research into scalable product solutions.