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As an Applied Machine Learning Platform Engineer, you'll design and maintain training infrastructure, manage distributed pipelines, and optimize data workflows for machine learning models.

Design and execute manual and automated tests for web applications, build and maintain test frameworks and CI pipelines, identify and track bugs, validate fixes, collaborate with product and engineering, participate in agile ceremonies, and continuously improve QA processes and tooling to ensure high-quality releases.

The Solutions Engineer will drive the adoption of AI-powered solutions in the electric utility sector, providing technical consulting and customer enablement. Responsibilities include gathering requirements, architecting solutions, leading RFI/RFP processes, and delivering training. Extensive travel is required for client engagement.

Lead computer vision projects and develop ML models for power grid analysis while mentoring engineers and ensuring software quality standards.