( New ) Google AI / ML Engineer __ XinDian and Banqiao

Reponsibility • Actively clean, process, and validate data streams for ML model consumption. Contribute to the implementation of MLOps best practices (CI/CD) and risk mitigation strategies as guided by the engineering team. • Actively develop and implement Python scripts and small utilities for model features and basic algorithm testing. Ensure development practices align with model fairness and ethical guidelines. • Establish and track technical Key Performance Indicators (KPIs) to measure model effectiveness post-deployment. Document and report potential technical risks identified during implementation. • Create and maintain a single source of truth for all active carrier/vendor technical requirements and specifications. Support the definition of project scope, timelines, and milestones. • Act as the central liaison between engineers, data scientists, and business stakeholders. Translate incoming high-level partner requests into clear, detailed, and actionable engineering specifications and tickets. • Provide regular, concise updates for stakeholders on project progress, key metrics, and any blockers. Minimum Qualification • Proficiency in programming Python, Database(SQL, Vector Database) and GCP(Google Cloud Platform). • Familiar with AI Agent, Agentic AI, MCP, A2A, Context Engineering • Experience with implementing machine learning algorithms in practice at scale. • Good communication skills and a positive attitude to work with stakeholders. • Proficient English speaking, reading, and writing ability. • Minimum 7 years experience in an AI-related role. Working location: Banqiao or Xin-dian