A global technology company seeks a Machine Learning Engineer to develop and deploy models for solar and wind power forecasting. The ideal candidate will have a Master's or PhD in a relevant field, solid machine learning and deep learning skills, and proficiency in Python. Responsibilities include building data-driven components and collaborating with varied teams. The position offers competitive compensation ranging from $106,000 to $156,000 annually, based on experience and qualifications.#J-18808-Ljbffr
📌 Ml Engineer: Renewable Energy Forecasting & Digital Twin - $106,000 - $156,000 A Year (Toronto)
🏢 Global Technology
📍 Toronto
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