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Tier-1 brand and metro location increase competition, but seniority and niche ML specialization limit broad applicants.
Industrial-electronics degree preference and resource-constrained deployment experience make backgrounds less transferable across industries.
Master’s/PhD plus 8+ years and strict ML, deployment, and domain requirements create highly selective shortlisting.
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Lead R&D of AI/ML-based product features focused on Data Center and Industrial domains, from requirements analysis through production and monitoring.
Collaborate across Eaton’s business units to identify opportunities and design algorithms that respect system resource constraints.
Manage project roadmaps, lead teams, document solutions, and drive innovation including IP creation and patent filings.
Master’s degree or PhD in Electronics, Electrical, Mechanical, Industrial or related numerate discipline.
8+ years of experience (7+ years if PhD) in applying data science to real-world problems.
Proficiency in Python programming and AI/ML techniques including deep learning and generative AI.
Experience with Agile methodologies, stakeholder management, and working in collaborative multi-disciplinary teams.
Experienced leader capable of independently managing complex AI/ML projects from research to deployment with measurable impact.
Strong research orientation with ability to engage deeply in academic literature and drive innovation including publications or patents.
Comfortable working in fast-moving, cross-functional teams interacting with business and technical stakeholders at multiple levels.