As a Synthetic Data Engineer at Anicalls, you'll focus on creating 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 ensuring that AI models are trained and tested with privacy-aware datasets, which is increasingly important in today's data-driven world.
Your day-to-day responsibilities will include building and supporting synthetic data generation processes. You will collaborate with other engineers and data scientists to understand the requirements for the datasets needed for various AI applications. This role suits someone who is passionate about data and has a solid understanding of machine learning pipelines.
Key responsibilities include: • Designing synthetic data generation pipelines • Supporting the development of AI models with privacy-aware datasets • Collaborating with cross-functional teams to gather requirements
To be successful 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 machine learning concepts and data engineering practices is essential. If you are looking to make an impact in the AI field and enjoy working with data, this position could be a great fit for you.
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