Asset Reliability Engineer - Wind Energy

October 19

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Predictive Maintenance • Internet of Things • Artificial Intelligence • Automated Condition Monitoring • Renewable Energy

11 - 50

💰 Seed Round on 2022-05

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.