Job Description
Founded in 2017, Pundi X delivers web3 and AI technology to build a more secure and inclusive world. Its flagship product, the XPOS®️, is a blockchain-based POS platform that enables brick-and-mortar stores to transact on the blockchain.
Headquartered in Singapore, we are honored to be listed among the top 50 most intriguing emerging Fintech Startups by KPMG in 2018, cool vendors in blockchain business by Gartner, and one of the top 10 fintech leaders by Singapore Fintech Association in 2019. Pundi X is a founding member of Asosiasi Blockchain Indonesia and also active in other blockchain associations globally.
We are proud to be a community-driven project and we have a very strong and engaged community across social media platforms. All of our team members are technology focused with a broad spectrum of expertise from coding to finance and from marketing to legal and regulatory.
What you’ll do
Responsible for the requirements of data acquisition for large models, conducting research on data sources, formulating collection methods, and data acquisition plans.
Responsible for designing and optimizing data asset management methods, including the full lifecycle processes of data asset collection, identification, storage, cataloging, and evaluation, as well as formulating and implementing data standardization specifications.
Responsible for the design and planning of the data asset platform for the large model data department.
What you’ll need
Bachelor’s or master’s degree in Computer Science, Artificial Intelligence, Statistics, or related fields.
Experience in developing and training models such as transformers, CNNs, RNNs is preferred.
Familiar with datasets required for training various models, data cleaning standards, and high-quality data standards.
Familiar with the full lifecycle process of structured or unstructured data processing, or having relevant project experience is preferred.
Proficient in using Python or other tools for data analysis and processing, with experience in unstructured data processing or algorithm-related experience preferred.
Possess good communication and teamwork skills, responsibility, proactivity, and innovation spirit, and the ability to continuously learn and follow academic trends.
Please send your CV entitled “AI Data Project Manager” to [email protected]. Join us!