Deskripsi Pekerjaan
Are you passionate about the intersection of Artificial Intelligence and Real Estate? Real Estate Analytics Pte. Ltd. is looking for a talented AI Data Intern to join our innovative team. You will play a pivotal role in our data engineering initiatives, helping to build robust models that drive strategic insights for our clients. We value creativity, analytical thinking, and a strong work ethic. This role offers hands-on experience with state-of-the-art technologies and the chance to work on real-world projects that impact the industry. We are seeking a motivated and creative AI in Data Engineering Intern to join our dynamic data team. This is a unique opportunity to work at the forefront of data analytics, leveraging AI to solve complex real estate challenges. You will work closely with our data scientists and engineers to refine data infrastructure, ensuring our models are trained on the highest quality data available. If you are eager to kickstart your career in a fast-paced environment, this is the perfect place for you to grow your technical skills and contribute to meaningful projects.
Tanggung Jawab
- Assist in the collection, cleaning, and preprocessing of large datasets to ensure high-quality training data for AI models.
- Support the development and maintenance of machine learning models using Python and relevant data science libraries.
- Collaborate with senior data engineers to design and implement efficient data pipelines and ETL processes.
- Conduct data analysis and generate actionable insights to support business decision-making processes.
- Participate in code reviews, testing, and help maintain comprehensive technical documentation.
Kualifikasi
- Currently pursuing a degree in Computer Science, Data Science, Engineering, or a related field.
- Strong foundation in programming languages, with a focus on Python.
- Understanding of basic statistics, data visualization, and machine learning concepts.
- Familiarity with SQL and relational databases is a plus.
- Excellent problem-solving skills, attention to detail, and a proactive attitude.