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Master's thesis in Software Development: Automated Dataset Quality Assessment for Machine Learning
1 maand geleden
Master's Thesis in Software Development: Automated Dataset Quality Assessment for Machine Learning
We are seeking a talented master's student to join our team at Info Support and work on a challenging project that focuses on improving the quality of machine learning models. The goal of this project is to develop an automated system for assessing the quality of datasets, which is a crucial step in building accurate machine learning models.
About the Project
The project involves researching and developing a system that can automatically assess the quality of datasets, taking into account various factors such as data completeness, consistency, and relevance. The system will be designed to provide insights and recommendations to developers, enabling them to improve the quality of their machine learning models.
About Info Support
Info Support is a leading provider of custom software, data/AI solutions, management, and training services. We specialize in helping organizations improve their software development capabilities and stay ahead of the competition. Our team is passionate about innovation and collaboration, and we are committed to delivering high-quality solutions that meet our clients' needs.
What You Will Do
- Research and develop an automated system for assessing dataset quality
- Design and implement a system that can provide insights and recommendations to developers
- Collaborate with our team to integrate the system into our software development process
What You Will Get
- A challenging master's thesis project that focuses on improving machine learning model quality
- Professional guidance and support from our experienced team
- Opportunities to collaborate with our team and contribute to our software development process
- A competitive compensation package, including a graduation allowance and a lease car or living space
Requirements
- Master's student in Software Development or a related field
- Strong programming skills and experience with machine learning
- Good communication and collaboration skills
Procedure
- Kennismakingsgesprek: We will discuss your study background, interests, and ambitions, and you can ask us any questions you may have.
- Assessment: You will complete an assessment of your professional knowledge and personality.
- Selectie interview: We will conduct a selection interview to discuss your professional knowledge and personality in more detail.
- Contract signing: If everything goes well, you will receive a contract offer, and we will start the pre-employment screening process.
