Grid Insights Architect
Core
Design and deploy advanced signal processing and machine learning algorithms for power system monitoring, asset health, and grid analytics to enable resilient electrical infrastructure.
Role type
Principal Engineer (hands-on technical leadership)
Builds
Edge-to-Cloud solutions for grid intelligence, including embedded platforms and distributed systems
Domain
Energy sector, Power Systems Engineering, Machine Learning, Signal Processing
Deliverable
production ML models
Required skills
Power Systems Engineering, Signal Processing, Machine Learning, Embedded systems programming, Python, MATLAB/Simulink, Physical system modelling, Algorithm deployment
Preferred skills
Condition monitoring, Predictive maintenance, Industrial IoT, Scaling prototypes to production
Technologies
Python, MATLAB/Simulink, Embedded environments
Responsibilities
Design algorithms for power system monitoring, Develop signal processing and ML techniques, Architect and deploy Edge-to-Cloud solutions, Lead end-to-end solution development, Influence product and technology strategy, Mentor engineers
Seniority
Principal, technical leadership