As a Synthetic Data Engineer at Anicalls, you'll create synthetic datasets for AI applications. This role is ideal for someone with a solid background in data engineering and machine learning.
Anicalls is looking for a Synthetic Data Engineer to join their team in Johannesburg. In this role, you will design and develop pipelines that generate synthetic data for AI and machine learning applications. Your work will be crucial in creating privacy-aware datasets that can be used for training, testing, and evaluating AI models.
On a day-to-day basis, you will collaborate with other engineers and data scientists to understand the requirements for synthetic data generation. You will be responsible for building and maintaining the data generation pipelines, ensuring they are efficient and effective. This role requires a good understanding of machine learning pipelines and the ability to implement solutions that meet the needs of various projects.
Key responsibilities include: • Designing and developing synthetic data generation pipelines • Supporting the creation of privacy-aware datasets • Collaborating with cross-functional teams to gather requirements • Maintaining and optimizing existing data generation processes
To succeed in this role, you should have at least 1-2 years of hands-on experience in synthetic data generation, data engineering, or machine learning. A strong understanding of data engineering principles and machine learning workflows is essential. If you are passionate about working with data and want to contribute to innovative AI solutions, this position could be a great fit for you.
You'll be taken to the original listing on PNet to apply.