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Mid-level ML role with common title and hybrid work, moderated by industrial domain specialization.
Industrial ML focus on rotating machinery and utilities limits cross-industry transferability.
Requires Master’s/PhD, 5+ years, production ML deployment and cloud ML experience.
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Develop and deploy advanced machine learning and AI models focused on industrial analytics such as predictive maintenance and fault detection for electrical asset monitoring.
Design and maintain scalable production-ready algorithms and feature engineering pipelines, continuously improving model accuracy and operational efficiency.
Collaborate with product teams to translate customer needs into analytics solutions, establish MLOps pipelines, and ensure continuous model retraining and improvement.
Master's or Ph.D. in Data Science, Computer Science, Statistics, Applied Mathematics, or related field.
Minimum 5 years experience developing machine learning or industrial analytics solutions.
Strong Python programming skills and experience deploying AI models in cloud-based environments.
Work Experience Required: 5+ years in relevant machine learning or industrial analytics roles.
Experienced in production deployment of ML models with measurable impact on prediction accuracy and operational performance.
Familiar with industrial AI domains including rotating machinery, power systems, and time-series analytics.
Comfortable working in fast-paced environments requiring rapid iteration from research to production and use of MLOps and AI-assisted development tools.