Job Description:
As an AI-Powered Renewable Energy Engineer, you will drive the integration of artificial intelligence and machine learning technologies into renewable energy systems. Your expertise will contribute to the optimization of energy production, storage, and distribution from renewable sources, playing a crucial role in sustainability and efficiency improvements.
Responsibilities
- Develop and implement AI-driven models to optimize renewable energy production (e.g., wind, solar).
- Design algorithms for energy demand forecasting, load balancing, and storage management.
- Analyze and model data from renewable energy systems, identifying patterns to improve efficiency.
- Integrate AI solutions with IoT devices and sensors to monitor energy infrastructure in real-time.
- Collaborate with engineers and data scientists to deploy predictive maintenance models, reducing downtime and enhancing system reliability.
- Conduct research on emerging AI technologies applicable to renewable energy optimization.
- Document project findings, create reports, and present insights to technical and non-technical stakeholders.
Required Qualifications
- Education: Bachelors degree in Engineering, Computer Science, Data Science, or a related field (Masters or Ph.D. preferred).
- Experience: 3+ years in energy engineering, data science, or machine learning, ideally 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
- Experience with IoT systems and sensor data integration.
- Familiarity with reinforcement learning and its applications in energy management.
- Knowledge of energy policies, sustainability standards, and carbon accounting.
- Ability to translate complex AI concepts into actionable insights for business stakeholders.