My client is seeking a Machine Learning Engineer to join their team in developing a state-of-the-art web-based solar application for energy management. The candidate will have enthusiasm for using AI and machine learning techniques to help businesses manage their energy consumption more efficiently.

Responsibilities

• Design and develop machine learning algorithms for energy management applications in the solar energy sector.

• Work in partnership with other engineers and data scientists to determine the most suitable algorithms for the solar energy application.

• Analyse large amounts of data to identify trends and patterns within the sector.

• Train machine learning models using past energy consumption and data to improve predictions and proposals.

• Improve algorithms and models to increase accuracy and speed of energy management decisions.

• Incorporate machine learning algorithms and models into the application to allow real-time energy management.

• Develop and maintain machine learning infrastructure to support the application.

• Monitor performance of machine learning algorithms and models, and make improvements as needed.

Requirements

• Strong knowledge in machine learning algorithms and techniques.

• Expertise in programming languages such as Python, R, and Java, and experience with machine learning libraries such as TensorFlow, PyTorch, and scikit-learn.

• Familiarity with cloud computing platforms, such as AWS and Azure.

• Strong experience in data analysis, data preprocessing, and feature engineering, including knowledge of data visualization techniques and tools.

• Knowledge of software development methodologies, such as Agile and Scrum.

• Strong communication skills, including the ability to present complex technical concepts.

• Understanding of energy management system.

Benefits

• Competitive Salary

• Fully Remote.

• 5% Pension Contribution.

• Healthcare and Dental care.

• 32 Days Holiday Entitlement.

• Christmas Bonuses.

• Attractive Performance based Incentives.