Senior Machine Learning Engineer - Energy Analytics

Take the lead as a Senior Machine Learning Engineer in the energy industry. Your efforts will focus on deploying models for predictive maintenance and energy demand analytics.

This position requires you to develop ML pipelines and predictive solutions while collaborating with data scientists to ensure optimal model performance. You will be instrumental in supporting operational excellence through advanced analytics for renewable energy and asset optimization.

Key Responsibilities:

• Design and develop robust machine learning pipelines

• Implement predictive analytics solutions tailored for energy

• Deploy ML models efficiently into production

• Monitor and enhance model performance continuously

• Work with interdisciplinary teams to achieve project goals

Requirements:

• At least 5 years of relevant experience in Machine Learning

• Previous experience in the Energy sector is mandatory

• Expertise in Python and key ML frameworks

• Knowledge of Tensor Flow, PyTorch, and Scikit-Learn

• Strong feature engineering and deployment skills

Lead transformative projects leveraging machine learning in the energy space.
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