Project Overview 

Claryo combines sensor technology and AI to detect anomalies in industrial settings.   As part of our team, you will assist in the data collection, analysis, and optimization phases of this innovative project, playing a critical role in advancing our technology. The project will be done remote except when on site at the customer.  

What You’ll Be Working On: 

• Hands-on experience with installing and calibrating sensor packages in industrial environments. 

• Data collection and preprocessing from real-world systems, ensuring high-quality data for our AI algorithms. 

• Collaborating with our data science team on machine learning models such as Graph Neural Networks (GNN) and Convolutional Neural Networks (CNN) to improve leak detection accuracy. 

• Analyzing data trends and working on practical solutions for system scalability and efficiency. 

Why Join Us? 

• Work on a real-world problem with tangible impact on energy savings and sustainability. You’ll be working on a project with the potential to reduce industrial energy use by more than 10%. 

• Gain experience in AI, sensor technology, and industrial systems, enhancing your technical skills. 

• Be part of a passionate, innovative team where your work directly contributes to the development of a cutting-edge product. 

• Collaborate directly with the founding team and contribute to shaping the future of our technology. 

Who Should Apply? 

• Engineering, data science, or related students with a passion for Data Science, AI, machine learning, or energy efficiency. 

• Those who enjoy problem-solving, hands-on work, and collaborating with interdisciplinary teams. 

Duration: 3-6 months (flexible, depending on your academic timeline) 

Take the opportunity to apply your skills in a meaningful way at a startup, where your work will directly impact industry innovation and environmental sustainability . We look forward to helping you shape your academic journey while driving innovation at Claryo!