As a Synthetic Data Engineer, you'll create synthetic datasets that help train and evaluate AI models while ensuring privacy and compliance. This role is perfect for those who enjoy working with data and want to contribute to innovative AI solutions.
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 essential 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 generated is high-quality and compliant with privacy regulations.
Your day-to-day 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.
The ideal candidate for this position should have a strong background in data generation and machine learning, along with experience in statistical validation and privacy techniques. You will also benefit from having knowledge of regulatory compliance and automation of data workflows. This role suits individuals who are detail-oriented and passionate about contributing to the development of secure AI solutions.
Overall, this position offers a unique opportunity to work at the intersection of data engineering and artificial intelligence, making a significant impact on how AI models are trained and evaluated while maintaining a strong focus on privacy and compliance.
You'll be taken to the original listing on PNet to apply.