This opportunity would be with Tools for Humanity.
The AI & Biometrics team is building a biometric iris recognition system that can work reliably with more than a billion users and enables them to claim their free share of WLD. We use cutting-edge machine learning deployed on custom hardware to enable high-quality image acquisition, identification, and fraud prevention, all while requiring minimal user interaction. Our technology, coupled with privacy-preserving data collection, allows us to increase system performance and reduce model bias.
We are building an iris recognition and fraud detection engine that works on the 1bn people scale. Therefore, its performance needs to out-perform all the current iris recognition technologies. We leverage our powerful custom-made iris recognition device, the Orb, combined with the latest research from the field of AI and Deep Learning
We are seeking a Data Engineer who will play a pivotal role in the backbone of our machine learning work: the datasets. In this critical position, you'll be at the forefront of our MLOps framework, focusing on data ingestion, annotation, and dataset orchestration. You will have the opportunity to build and maintain the infrastructure that fuels our machine learning algorithms, ensuring that the data is accurate, accessible, and ready to use for model training.
In this role you will:
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