Energy Bay Funds Management is seeking an experienced Machine Learning Engineer to own price forecasting models for NEM energy and FCAS markets, and to enhance the BESS optimisation engine behind our battery energy storage trading. You'll build, train and deploy models, and ensure production reliability with MLOps practices.
We value robust Python, SQL, time-series forecasting, and hands-on experience deploying models in production. Collaboration with traders, engineers and partners is essential.
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📌 Ml Engineer - Energy Trading & Bess Optimisation (Melbourne)
🏢 Energy Bay Funds Management
📍 Melbourne
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