Renewable Energy Optimization Expert
4 days ago
At Jobvous Staffing Solutions, LLC, we are seeking an exceptional Renewable Energy Optimization Expert to join our team. This is a highly rewarding opportunity for individuals who share our passion for driving innovation in the renewable energy sector.
Estimated Salary: $120,000 - $180,000 per yearThis role will play a crucial part in shaping the future of sustainable energy production and consumption. As an expert in renewable energy optimization, you will be responsible for developing and implementing cutting-edge AI-driven models to enhance energy efficiency and reduce carbon footprint.
Key Responsibilities:- Develop and Implement AI-Driven Models: Design and deploy advanced machine learning algorithms to optimize renewable energy production from sources such as wind, solar, and battery storage.
- Energy Demand Forecasting and Load Balancing: Create predictive models to forecast energy demand and develop strategies for load balancing and storage management.
- Data Analysis and Pattern Identification: Analyze data from renewable energy systems to identify patterns and areas for improvement, ultimately enhancing system efficiency and sustainability.
- IoT Integration and Real-Time Monitoring: Collaborate with engineers and data scientists to integrate AI solutions with IoT devices and sensors, enabling real-time monitoring of energy infrastructure.
- Predictive Maintenance and System Reliability: Work with cross-functional teams to deploy predictive maintenance models, reducing downtime and improving overall system reliability.
- Education: A bachelor's degree in engineering, computer science, data science, or a related field (master's or Ph.D. preferred).
- Experience: At least 3 years of experience in energy engineering, data science, or machine learning, preferably within the renewable energy sector.
- Technical Skills: Proficiency in Python, MATLAB, R, and machine learning frameworks (e.g., TensorFlow, PyTorch); experience with energy forecasting and optimization models; knowledge of time-series analysis, statistical modeling, and neural networks; familiarity with cloud platforms (e.g., AWS, Google Cloud) and big data tools (e.g., Spark, Hadoop).
- Domain Knowledge: Strong understanding of renewable energy systems, particularly in solar, wind, or battery storage technologies.
- IoT Systems and Sensor Data Integration: Experience with integrating AI solutions with IoT devices and sensors.
- Reinforcement Learning and Energy Management: Familiarity with reinforcement learning and its applications in energy management.
- Sustainability Standards and Carbon Accounting: Knowledge of energy policies, sustainability standards, and carbon accounting.
- Actionable Insights for Business Stakeholders: Ability to communicate complex AI concepts into actionable insights for business stakeholders.
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