Renewable Energy Optimization Expert

4 days ago


Houston, Texas, United States Jobvous Staffing Solutions, LLC Full time
Job Overview

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 year

This 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.
Required Qualifications:
  • 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.
Preferred Skills:
  • 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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