CareerPlan

项目管理(机器学习技术) - Data AML

北京Full-time2026-10-20 → 2026-11-10

Core

Managing the full lifecycle of machine learning projects for training and inference systems serving recommendation, advertising, CV, voice, and NLP businesses.

Role type

Senior Technical Project Manager (Machine Learning Infrastructure)

Builds

ML training/inference systems, GPU compute resources, and heterogeneous hardware NPI implementations for internal business units and external enterprise clients via Volcano Engine.

Domain

Machine Learning Infrastructure / Cloud Computing / AI Resource Management

Deliverable

production ML models

Required skills

Project lifecycle management, cross-team coordination, risk identification, resource allocation, heterogeneous hardware NPI, GPU cluster management, compute efficiency optimization, process standardization, technical translation.

Preferred skills

Heterogeneous hardware NPI experience, GPU cluster management, compute resource efficiency optimization, PMO metrics体系建设.

Responsibilities

Plan, execute, and deliver ML projects from initiation to closure; coordinate cross-functional teams to resolve blockers and mitigate technical risks; manage GPU and compute resource allocation strategies to balance efficiency and cost; support the introduction, validation, and scaling of heterogeneous hardware; optimize organizational processes and collaboration mechanisms for ML delivery.

Seniority

Senior, hands-on IC