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AI 工程师

AI Engineer

Compathnion Technology Limited

香港坐班 / 混合办公全职、兼职、实习

岗位信息

以下为根据雇主原文整理的中文岗位要点，方便快速了解职责与要求。完整条件请展开下方招聘原文核对。

岗位概况

负责设计、开发与部署先进的 AI 模型与系统，覆盖研究到生产的完整流程，与团队协作将模型集成到生产系统，优化性能与效率，完成数据预处理与特征工程，并用 AWS、Azure、GCP 等云平台部署监控模型。

岗位要点

  • 设计、开发并实现面向各类应用的机器学习与深度学习模型
  • 与数据科学家、软件工程师协作，将 AI 模型集成到生产系统
  • 优化模型的性能、可扩展性与效率，进行数据预处理、特征工程与分析
  • 使用 AWS、Azure、GCP 等云平台或本地基础设施部署监控模型，参与代码评审、文档与知识共享

任职要求

  • 计算机科学、工程、数学或相关领域学士或硕士学位
  • 熟悉 n8n、langchain、agentic AI 并有相关经验
  • 了解 AI/ML 模型开发与部署，熟练使用 Python、R 或 Java
  • 具备 TensorFlow、PyTorch、scikit-learn 等 ML 框架经验，理解机器学习算法、深度学习架构与 NLP/计算机视觉

申请截止：2027-01-14（以雇主原公告为准）

查看完整招聘原文

We are seeking a talented and motivated AI Engineer to design, develop, and deploy state-of-the-art AI models and systems. You will collaborate with cross-functional teams to solve complex problems, drive AI initiatives, and contribute to the full AI development lifecycle—from research to production.

Key Responsibilities

  • Design, develop, and implement machine learning and deep learning models for various applications.
  • Collaborate with data scientists and software engineers to integrate AI models into production systems.
  • Optimize model performance, scalability, and efficiency for real-world deployment.
  • Conduct data preprocessing, feature engineering, and analysis to support model development.
  • Stay updated with the latest advancements in AI/ML research and apply them to solve business challenges.
  • Participate in code reviews, documentation, and knowledge sharing within the team.
  • Work with large datasets and ensure data quality and integrity.
  • Deploy and monitor AI models using cloud platforms (e.g., AWS, Azure, GCP) or on-premise infrastructure.
  • Contribute to the development of AI pipelines, tools, and frameworks.

QualificationsRequired:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field.
  • Family with n8n, langchain, agentic AI experience.
  • Knowledge in AI/ML model development and deployment.
  • Proficiency in programming languages such as Python, R, or Java.
  • Strong experience with ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
  • Solid understanding of machine learning algorithms, deep learning architectures, and NLP/computer vision (as applicable).
  • Knowledge with data processing tools (e.g., Pandas, NumPy, SQL).
  • Familiarity with cloud platforms (AWS SageMaker, Google AI Platform, Azure ML) and containerization (Docker, Kubernetes).
  • Strong problem-solving skills and ability to work independently or in a team.

Preferred:

  • Knowledge with MLOps tools (MLflow, Kubeflow, etc.).
  • Knowledge of distributed computing and big data technologies (Spark, Hadoop).
  • Publications or contributions to open-source AI/ML projects.
  • Knowledge in [specific industry, e.g., healthcare, fintech, autonomous systems]
  • Understand and translate the client need into AI set up (With Knowledge in AI Setting)

What We Offer

  • Competitive salary and performance-based bonuses.
  • Opportunities for professional growth and continuous learning.
  • Collaborative and inclusive work culture.
  • Access to cutting-edge tools and technologies.

申请截止：2027-01-14（以雇主原公告为准）