Our client is an exciting startup looking to provide real-time, automated and
autonomous defect detection and condition assessment solutions of pipelines to
enable smart and sustainable urban water systems.
What you will do
- Design, develop, and maintain a Spring Boot-based web application using best practices.
- Participate in code reviews, testing, and deployment processes.
- Implement and upgrade a responsive user interface (e.g., using React Native).
- Leverage and implement machine learning algorithms to analyse and optimize the water pipe condition assessment process within the solution.
- Write clean, efficient, maintainable, and well-documented code.
- Collaborate with cross-functional teams, including civil and hydraulic engineering, to understand requirements and integrate solutions.
What you will need
- Bachelor's degree in Computer Science, Software Engineering, or a related field.
- Strong programming skills in full stack app programming languages and databases technologies, with a focus on Spring Boot, JavaScript/React Native and Python.
- Proficient in designing and implementing APIs.
- Ability to integrate Machine learning solutions into web applications.
- Willingness and ability to learn the basic principles of civil and hydraulic engineering.
Nice-to-haves
-
Strong understanding of machine learning concepts, including optimization techniques.
-
Familiar with MATLAB and its application in water pipe condition assessment.
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Familiar with basic principles of civil and hydraulic engineering.
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Prior research background is advantageous.
NAHC Limited
A company building innovative financial options/derivatives products in the Web3 space with a focus on exotic derivatives.
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