Build and maintain automated LLM evaluation pipelines covering multiple dimensions, including general capabilities, Agent capabilities, and persona/role-playing capabilities. Support one-click evaluation, historical result comparison, and regression testing.
We are looking for a Senior AI Engineer with solid experience in supply chain AI solutions and a strong understanding of software development/deployment. This role is crucial to building scalable AI solutions to solve core supply chain problems. You’ll not only be a key contributor within a high-impact engineering team but also help shape the team’s engineering culture through technical guidance and support to others.
Stay current with latest regulatory updates or changes and industry best practices in financial crime space and proactively share updates to keep the team informed and aligned.
Responsible for using algorithms to mine, identify, and predict risks and low-quality merchants, products, and creators in e-commerce scenarios, and assist businesses in managing and controlling them.
Nas.com helps entrepreneurs launch and grow an online business from one platform, from creating a storefront and marketing content to reaching customers and accepting payments globally.
Algorithmic Innovation: Spearhead research into optimal quantization methodologies for advanced low-precision data formats, driving the strategic adoption and expansion of our low-precision computing ecosystem to secure a competitive edge in numerical computing.
Conduct forward-looking exploration and research of foundational AI technologies, including but not limited to large model pre-training/post-training paradigm innovation exploration, architecture design for multimodal understanding and generative models; next-generation foundational architectures (e.g., Transformer-Next), and acceleration of large-scale model training and inference.
Define enterprise AI reference architectures, AI platform standards, reusable solution patterns, and technical roadmaps aligned to FEO’s AI strategy, enterprise architecture, cybersecurity, data governance, and business priorities.