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Animoca Brands is seeking an AI Project Manager to lead planning, execution, and delivery of AI/ML initiatives. You will bridge business stakeholders, data scientists, and engineering teams to ensure on-time, scoped, high-value results.
You will oversee data collection, labeling, model training, validation, and deployment, while communicating metrics and risks to leadership. Strong PM, data literacy, and AI knowledge are essential.
Animoca Brands Corporation Limited (ACN: 122 921 813) is a Web3 leader that leverages tokenization and blockchain to deliver digital property rights to consumers, helping to establish the open metaverse and its associated network effects. Animoca Brands realizes its mission via three integrated business pillars: operating Web3 businesses to advance blockchain adoption with native projects such as Moca Network, Anichess, The Sandbox, Open Campus, NEOM Web3 initiatives, and a regulated stablecoin project in partnership with Standard Chartered and HKT; providing digital asset advisory services including tokenomics advisory, liquidity provisioning, and institutional research to help external Web3 projects grow; and investment management, with a portfolio of investments in over 540 companies including industry leaders Pudgy Penguins, Yuga Labs, Axie Infinity, Polygon, Consensys, Magic Eden, OpenSea, Dapper Labs, YGG, and many others.
We are seeking an AI Project Manager to lead the planning, execution, and delivery of innovative Artificial Intelligence and Machine Learning initiatives. In this role, you will act as the critical bridge between our business stakeholders, data scientists, and engineering teams. You will be responsible for navigating the unique complexities of AI projects—from data collection and model training to deployment and performance monitoring — ensuring solutions are delivered on time, within scope, and drive real business value.
Personal Information Collection Statement: Personal data provided by the Job Applicant will be used strictly in accordance with the Employer's Personal Data Policies, a copy of which will be provided immediately upon his/her request. All classified data will be treated confidentially within the Human Resources & Administration Department. Personal data of unsuccessful applicants may be retained for a period of up to 3 months.