ANNEA
ANNEA is a modular AI-based platform for predictive maintenance and asset performance optimization, specifically tailored for the renewable energy sector. The platform is designed to enhance the operational efficiency and reliability of renewable energy assets such as wind turbines, solar farms, and hydroelectric plants. With AI-powered solutions, ANNEA helps to minimize downtime, reduce operational costs, and maximize profitability for power producers, service providers, and original equipment manufacturers. The company leverages extensive industry expertise to ensure optimal performance and extended asset lifetimes.
Predictive Maintenance • Internet of Things • Artificial Intelligence • Automated Condition Monitoring • Renewable Energy
Asset Reliability Engineer - Wind Energy
October 19, 2024
ANNEA
ANNEA is a modular AI-based platform for predictive maintenance and asset performance optimization, specifically tailored for the renewable energy sector. The platform is designed to enhance the operational efficiency and reliability of renewable energy assets such as wind turbines, solar farms, and hydroelectric plants. With AI-powered solutions, ANNEA helps to minimize downtime, reduce operational costs, and maximize profitability for power producers, service providers, and original equipment manufacturers. The company leverages extensive industry expertise to ensure optimal performance and extended asset lifetimes.
Predictive Maintenance • Internet of Things • Artificial Intelligence • Automated Condition Monitoring • Renewable Energy
📋 Description
• We are seeking an experienced and motivated Asset Reliability Engineer with focus on Wind Energy and Data Science to join our dynamic team. • Play a pivotal role in advancing our predictive maintenance and asset performance optimization platform for wind turbines. • Your expertise will contribute to optimizing the performance and longevity of wind turbines, ensuring their continuous operation, and reducing downtime through proactive maintenance strategies. • Collaborate with cross-functional teams including data scientists, software developers, and domain experts to develop and refine algorithms for predictive maintenance and asset optimization. • Analyze historical data, sensor readings, and performance metrics to identify patterns and anomalies that can be used to predict potential equipment failures or suboptimal performance. • Design and implement reliability models, failure modes, and maintenance strategies specific to wind turbine systems. • Develop and maintain a deep understanding of wind turbine components, mechanical systems, electrical systems, and control systems. • Participate in field tests and data collection activities to validate and improve the accuracy of predictive models. • Stay up to date with the latest advancements in wind turbine technology, reliability engineering, and predictive maintenance techniques. • Collaborate with customers to understand their specific needs and challenges, providing technical support and customized solutions.
🎯 Requirements
• Master’s or bachelor’s degree in mechanical engineering, Electrical Engineering, Reliability Engineering, or a related field. • Proven experience in reliability engineering, predictive maintenance, or asset performance optimization, preferably in the renewable energy sector or wind energy domain. • Strong programming skills in languages such as Python, R, or MATLAB for data analysis and modeling. • Familiarity with data preprocessing, statistical analysis, machine learning techniques, and data visualization. • Knowledge of wind turbine components, operation, and maintenance practices is a significant advantage. • Excellent problem-solving abilities, critical thinking skills, and attention to detail. • Effective communication skills with the ability to present technical concepts to both technical and non-technical stakeholders. • Self-motivated and able to work independently as well as collaboratively in a team environment. • Experience with software development and working in an Agile development environment is a plus.
🏖️ Benefits
• Competitive salary and benefits package. • Collaborative and innovative work environment that encourages professional growth and learning. • Opportunity to work at the forefront of renewable energy technology, contributing to a more sustainable future. • The chance to make a meaningful impact by directly contributing to the reliability and efficiency of wind energy systems.
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