Sia · Hong Kong, Hong Kong, Hong Kong

AI Engineer - Manager

带领AI工程团队，为客户交付生产级AI/GenAI方案。

狀態未確認核驗時間未確認

目前未能確認此職位是否仍在招聘，請先到原始來源核實。

薪酬未公開
學歷本科或硕士；计算机科学、人工智能、数据科学、软件工程或相关技术专业
語言English · fluent、Cantonese · fluent、Mandarin or other Asian language · unspecified
經驗6年以上AI工程、MLOps、DevOps、GenAIOps、数据工程或应用AI交付经验

工作內容

  • 主导AI方案设计、开发和部署
  • 负责Python、LangChain等技术栈下的工程实现
  • 推动MLOps/GenAIOps、测试、监控和上线支持
  • 带领团队并与客户开展技术沟通和方案评审

職位要求

  • 本科或硕士学位
  • 6年以上相关AI工程或交付经验
  • 英语流利
  • 粤语优先
  • 熟悉云端AI服务、后端工程和MLOps实践
查看招聘來源的要求摘錄

原始資料於 2026-11-01 查閱；內容可能已更新，請查看原始職位。

Minimum Qualifications
Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related technical field.
6+ years of relevant experience in AI engineering, MLOps, DevOps, GenAIOps, data engineering, or applied AI delivery.
Experience working in a consulting, client-facing, or professional services environment is strongly preferred.
Hands-on experience designing and delivering AI/ML solutions in production or production-like environments.
Strong programming skills in Python and experience with modern AI/ML frameworks and techniques such as PyTorch, Hugging Face, LangChain, LlamaIndex, and AI orchestration platform such as n8n.
Experience with cloud-based AI services and platforms, such as AWS/Bedrock, Azure/Foundry, GCP/Vertex, Alicloud/PAI, Tencent Cloud/TI, Databricks, or similar providers.
Strong understanding of backend engineering, APIs, microservices, containerization, and cloud-native architecture.
Familiarity with MLOps or GenAIOps practices, including CI/CD, monitoring, model evaluation, observability, and production support.
Excellent communication skills with the ability to explain complex technical concepts to senior stakeholders, business users, and technical teams.
Strong problem-solving ability, business acumen, and comfort working in ambiguous client environments.
Fluency in English is required. Fluency in Cantonese is highly preferred for the Hong Kong market. Mandarin or other Asian language proficiency would be advantageous.
Preferred Qualifications
Experience leading technical teams or managing AI engineering workstreams.
Experience delivering enterprise AI solutions across sectors such as banking, insurance, energy, or retail & consumer goods.
Experience with agent frameworks, , multi-agent orchestration, memory architectures, and workflow automation, on-prem and on cloud LLM deployments
Experience with Docker, Kubernetes, Terraform, CI/CD pipelines, and modern DevOps practices.
Familiarity with security, data privacy, model risk management, Responsible AI, GDPR, SOC2, or AI governance frameworks.
Experience using AI-native engineering tools such as GitHub Copilot, Cursor, Claude Code, or similar tools.
Experience supporting business development, proposals, solution estimation, or client presentations.

來源：公司官网 · 資料查閱日期 2026-11-01。職位狀態及要求請以原始招聘頁面為準。

查看原始職位 ↗在 HKJob 查看

目前未能確認此職位是否仍在招聘，請先到原始來源核實。