As a Synthetic Data Engineer, you'll create and manage synthetic datasets that help train AI models while ensuring privacy and compliance. This role is perfect for someone who enjoys working with data and has a strong understanding of statistical methods.
Anicalls is looking for a Synthetic Data Engineer to join their team in Johannesburg. In this role, you will be responsible for designing and building synthetic datasets that are crucial for training and testing AI models. Your work will involve collaborating with various teams, including business, data, and engineering, to ensure that the synthetic data you create is not only high-quality but also adheres to privacy regulations and maintains statistical integrity.
Your daily tasks will include developing synthetic data generation pipelines tailored for AI and machine learning applications. You will apply statistical validation techniques to ensure that the synthetic data accurately reflects real-world data distributions. Additionally, you will implement privacy-preserving methods such as data anonymization and differential privacy to protect sensitive information.
This role is ideal for someone with a strong background in data engineering and a keen interest in AI technologies. You should be comfortable working with complex data systems and have a solid understanding of the statistical methods required to validate synthetic datasets. If you enjoy building automated workflows and have experience integrating data generation with machine learning pipelines, this position could be a great fit for you.
Overall, as a Synthetic Data Engineer at Anicalls, you will play a vital role in shaping the future of AI by ensuring that the data used for training models is both effective and compliant with privacy standards.
You'll be taken to the original listing on PNet to apply.