Master's thesis in Software Development: Automated Dataset Quality Assessment for Machine Learning

1 week geleden


Utrecht, Utrecht, Nederland Info Support Voltijd

Master's Thesis in Software Development: Automated Dataset Quality Assessment for Machine Learning

We are looking for a talented master's student to join our team at Info Support and work on a challenging project that combines software development and machine learning. As a master's student, you will have the opportunity to work on a real-world problem and contribute to the development of innovative solutions.

About the Project

The project focuses on improving the quality of datasets for machine learning models. With the rise of automated machine learning tools, it becomes increasingly important to ensure that datasets are accurate and reliable. Our goal is to develop an automated system that can assess the quality of datasets and provide recommendations for improvement.

What You Will Do

  • Research and develop a system for automated dataset quality assessment
  • Design and implement a machine learning model to predict dataset quality
  • Develop a user-friendly interface for dataset quality assessment and recommendation

About Info Support

Info Support is a leading provider of custom software, data/AI solutions, and management services. We have a strong focus on innovation and research, and we are committed to providing our employees with the opportunity to grow and develop their skills.

What We Offer

  • A challenging master's thesis project that combines software development and machine learning
  • Opportunities for professional growth and development
  • A dynamic and innovative work environment
  • A competitive salary and benefits package

Requirements

  • Master's degree in Computer Science or a related field
  • Strong programming skills in languages such as Python or Java
  • Experience with machine learning and data analysis
  • Good communication and teamwork skills

Procedure

  • Initial meeting to discuss your background and interests
  • Assessment of your professional knowledge and personality
  • Selective interview to discuss your qualifications and fit for the project
  • Signing of a contract and start of the pre-employment screening

Meet Our Team



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