Build and operate shared AI platforms: a multi-provider LLM gateway, an agent orchestration layer, an evaluation and monitoring layer, and a staff assistant.
To ensure quality and integrity of the financial statements in accordance with IFRS (International Financial Reporting Standard) under the Advantest Group reporting and the local statutory reporting requirement.
Participate in and manage the research project with Principal Investigator (PI) Ian McLoughlin, Co-PI Tong Rong and the research team members to ensure all project deliverables are met.
Build global logistic and warehousing network, improve operations efficiency and reduce operational cost with data analysis, machine learning and operation research methods.
Lead the end-to-end architecture, engineering, and delivery of full-stack applications and microservices-based solutions using .NET, JavaScript frameworks, Python, APIs, containers, and cloud-native Azure services.
Build global logistic and warehousing network, improve operations efficiency and reduce operational cost with data analysis, machine learning and operation research methods.
Work in a team environment with engineers and designers from RoviSys, partners and clients to provide state of the art Control Systems to improve efficiency, product quality and profitability of process manufacturing.
Design and implement monitoring, alerting, and observability solutions for ML and AI systems, including model performance, data drift, latency, and AI operational health.
The opportunity to work on TikTok’s audio and video creation experiences and build the next generation of AI-powered creative tools for users worldwide.
Manage enterprise scheduling platform engineering: Provide engineering ownership for enterprise scheduling platforms and their supporting components, including scheduler master servers, agents, database repositories, authentication and security integrations, high availability configurations, and related infrastructure.
We're hiring multiple Forward Deployed Engineers for a category leading AI company that deploys agents and automates extremely complex workflows inside large enterprise customers. This is a hands-on IC role. You'll be embedded directly with customers, working alongside a client-facing deployment partner, translating messy real-world operational problems into working AI systems, and staying accountable for the outcome long after the first deployment ships.