Applied Machine Learning Platform Engineer
Build scalable ML training infrastructure, data pipelines, and feature stores for computer vision workloads.
Remote • United States
- Full Time
- Min. 2 YOE
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Build scalable ML training infrastructure, data pipelines, and feature stores for computer vision workloads.
Detail-oriented QA Engineer driving test plans, automated frameworks, and CI/CD validation to ensure quality across web applications.
Develops qualified leads and schedules product demonstrations to drive AI solutions adoption in power grid utilities.
Owns end-to-end computer vision projects with model serving pipelines, focusing on defect detection and anomaly monitoring in power grid imagery.
Leads AI, infrastructure, and platform engineering to scale a multi-team SaaS/AI system.
Owns key relationships with utility leaders, including executives and team leaders focused on grid modernization, transmission and distribution infrastructure inspections, asset and vegetation management, grid planning, and operations teams.
Prospect and manage enterprise utility relationships, drive multi-region sales for energy tech SaaS, and close complex deals.
Drive AI/ML-enabled utility solutions, leading pre- and post-sales activities, from discovery to adoption across national utilities.
Lead engineering efforts to design, build, and improve scalable web applications and platform services.
Lead computer vision initiatives to develop production-grade ML models for power-grid analysis and deployment.