web3 Data Science Lead at Giza
We're a cutting-edge team behind the Giza protocol, an exciting new project set to bring about the next paradigm shift in machine learning. We're converting machine learning models into verifiable programs, generating proofs of computational correctness and provenance. Our mission involves pushing the frontiers of AI technology and web3, pioneering a new path in the realm of provable machine learning models.
- Develop, implement, and maintain machine learning models and algorithms to address complex business problems and enhance our product offerings.
- Collaborate with cross-functional teams to identify, scope, and prioritize machine learning use cases and integrations within the product portfolio.
- Lead the end-to-end development and deployment of ML solutions, from data collection and preprocessing to model training, evaluation, and optimization.
- Leverage knowledge of Web3, Ethereum, and Rollups technologies to design and implement ML models for decentralized systems and applications.
- Develop and maintain documentation, including technical specifications, user guides, and best practices, to support internal and external users.
- Foster a culture of collaboration, communication, and continuous improvement within the team and across the organization, working closely with stakeholders from different areas.
- Act as the subject matter expert for machine learning and data science, providing guidance and mentorship to team members and stakeholders.
- Keep abreast of the latest developments in the fields of machine learning, Web3, and blockchain technologies to ensure our solutions remain innovative and competitive.
- Master's degree or higher in Computer Science, Data Science, Statistics, or a related field, or equivalent experience.
- 5+ years of experience in machine learning, data science, or a related discipline, with a proven track record of successful project delivery.
- Strong understanding of Web3 technologies, including Ethereum, smart contracts, and decentralized applications (dApps).
- Familiarity with Rollups solutions (e.g., Optimistic Rollups, ZK-Rollups) and their integration in blockchain ecosystems.
- Proficiency in Python, with experience using ML libraries and frameworks such as TensorFlow, PyTorch, or scikit-learn.
- Solid understanding of a wide range of machine learning algorithms, statistical methods, and data preprocessing techniques.
- Excellent problem-solving, analytical, and communication skills, with the ability to convey complex technical concepts to both technical and non-technical audiences.
- Experience working with large datasets and distributed computing tools (e.g., Hadoop, Spark) is a plus.