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Strong employer brand but highly specialized HVDC+ML skillset narrows candidate pool.
Specialized HVDC, simulation tool, and power systems expertise limits cross-industry transferability.
Explicit 3–5 years plus mandatory HVDC simulation tools, Python, and ML/AI experience required.
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Lead HVDC system studies including insulation coordination, reliability, and simulation using PSCAD, PSS/E, DigSilent, MATLAB, and RTDS.
Develop and maintain Python-based automated workflows for large-scale, multi-scenario batch simulations and result processing.
Integrate AI/ML techniques such as LLMs and RAG to optimize system study methodologies and act as a technical interface between engineering and data science teams.
Bachelor's or Master's degree in Electrical Engineering (Power Systems preferred) or related Power Systems with AI/Data Science exposure.
3–5 years experience in HVDC/FACTS system studies or AI/ML applications in engineering or simulation domains.
Strong Python programming skills applied to simulation automation and data processing.
Experience with power system simulation tools and fundamental knowledge of power systems and AI/ML methodologies.
Experienced in both power systems engineering and AI/ML application development, especially integrating simulations with AI frameworks.
Capable of bridging traditional engineering practices with advanced digital technologies in a cross-functional team environment.
Skilled in developing scalable automated workflows and optimizing engineering productivity through data-driven and AI-enhanced methods.