Machine Learning Engineer in Energy Sector

Elevate your career as a Machine Learning Engineer focused on the energy industry. Utilize your expertise in developing and deploying ML models for predictive maintenance and energy demand forecasting. In this role, you will be responsible for creating machine learning pipelines and optimizing model performance while collaborating with data scientists and engineers at your company.

Your primary goal will be to support AI-driven operational excellence programs in energy production analytics and asset optimization. Key Responsibilities: • Develop comprehensive machine learning pipelines • Build state-of-the-art predictive analytics solutions • Deploy machine learning models into production environments • Optimize model performance and monitor results • Collaborate effectively with teams of data scientists and engineers Requirements: • 5+ years of experience in Machine Learning Engineering • Proven experience within the Energy sector • Proficiency in Python and machine learning frameworks • Familiarity with TensorFlow, PyTorch, and Scikit-Learn • Ability to implement advanced feature engineering Join a driven team, leveraging machine learning to optimize energy solutions. #J-18808-Ljbffr