AI Innovation Specialist (Renewable Energy, Aarhus)

Job summary

The role involves leveraging AI technologies to enhance renewable energy solutions. The AI Innovation Specialist will collaborate with various stakeholders to identify opportunities, develop AI concepts, and implement practical solutions that drive business value.

Qualifications

• Degree in Computer Science, Data Science, Software Engineering, Control Engineering, Robotics, Mathematics, Physics, or a related field.
• Minimum of 4 years of relevant experience in developing and implementing AI or Machine Learning solutions.
• Proficient programming skills, especially in Python.
• Familiarity with modern AI and Machine Learning frameworks.
• Experience in taking prototypes to operational deployment.
• Hands-on approach to problem-solving and technology development.
• Experience with MLOps, cloud platforms, embedded AI, or edge computing is a plus.

Responsibilities

• Define and develop AI concepts from ideation to implementation.
• Identify areas where AI can enhance service operations and scalability.
• Develop and validate AI solutions using various data types.
• Collaborate with stakeholders to translate business challenges into AI solutions.
• Stay updated on advancements in AI and Machine Learning to influence technology roadmaps.
• Contribute to innovation projects that align with strategic goals.

Skills

• Experience in Computer Vision, Audio Analytics, Predictive Maintenance, Anomaly Detection, Industrial AI, Intelligent Automation, Data Analytics, VLM, LLM, Machine Learning.
• Ability to convert data into actionable insights.
• Understanding of the AI lifecycle from data acquisition to deployment.
• Strong communication skills for conveying technical concepts to diverse audiences.
• Team-oriented with a collaborative mindset.
• Curiosity and motivation for solving complex problems.

Education

• Relevant degree in a technical discipline as mentioned above.

Tools

• Familiarity with AI and Machine Learning frameworks, programming languages, and data analysis tools.