As an artificial intelligence engineer, you will be expected to develop a method to train the AI model to predict the leak locations inside the water pipeline system. Your duties will include collecting and analyzing data sets to identify patterns and develop predictive algorithmic models.

Responsibilities:

• Design and develop AI models to meet project requirements.
• Convert AI/ML models into APIs that other developers can use.
• Perform statistical analysis on big data sets.
• Manage project infrastructure and the development of AI models and projects.
• Work with other machine learning engineers, data engineers, and AI engineers to develop machine learning models.

Job Requirements:

• Bachelor’s degree, and minimum 2 years of experience in computer science, data science, software development, or another related field; a master’s degree is recommended.
• Solid understanding of common programming languages used in AI, such as Python, C++
• Advanced knowledge of Qt framework, git/github, jira, and database system.
• Experience working with large data sets and writing efficient code capable of processing large data streams at speed.
• Familiarity with deep learning and machine learning algorithms and the use of popular AI/ML frameworks.
• Experience in Windows development environment and system programming.
• Knowledge about fluid dynamics and physics is a plus.
• Good in English, both written and verbal.

How to Apply:

To be part of a pioneering technology company driving change in the water utilities industry, submit your resume and cover letter at https://efastec.com/careers/   or send an email to haiyen.nguyen@efastec.com . In your cover letter, highlight your relevant experience, interest in the position, and your earliest availability to join EFAS Technologies.