Role summary
Sino Express Intelligence Co., Limited is recruiting a Director of Artificial Intelligence (Technical R&D Lead) to conduct full-time R&D work in Hong Kong on AI-enabled optimisation of EV charging infrastructure and green-energy systems.
This is a senior technical R&D leadership role with responsibility for leading the company's Hong Kong AI R&D roadmap, prototype development, model validation and technical delivery for EV charging and green-energy optimisation. The role will focus on applied research, controlled pilots, reproducible technical documentation and technical leadership for AI and data-driven systems supporting EV charging and sustainable energy operations.
This is a technical R&D leadership role. It is not a statutory director, board position, shareholder role, proprietor role, partner role or corporate management position of the company.
Key responsibilities
- Conduct R&D on AI and machine-learning models for EV charging demand forecasting, utilisation prediction and station allocation analytics.
- Develop, test and validate predictive-maintenance models using charger telemetry, fault logs and controlled pilot data.
- Research optimisation algorithms for dynamic load balancing, energy management and grid-aware scheduling under operational constraints.
- Develop AI methods for renewable-energy integration, battery scheduling and smart-grid related simulation or pilot studies.
- Design experiments, define evaluation metrics, analyse model performance and document reproducible technical findings.
- Develop prototypes, model cards, technical reports, data-pipeline specifications and R&D progress documentation.
- Coordinate technical R&D workstreams, mentor AI / data staff and support knowledge transfer within the technical scope of the role.
- Support controlled Hong Kong R&D pilots for EV charging optimisation, computer vision safety or occupancy monitoring and MLOps governance.
Requirements
- Doctoral degree or advanced degree in artificial intelligence, computer science, data science, engineering, energy systems or a related STEM discipline. Doctoral-level research experience is preferred for this senior technical role.
- Substantial experience in AI, machine learning, data analytics, optimisation, computer vision, predictive modelling or related applied R&D.
- Experience in EV charging, green energy, smart-grid, energy systems, sustainable technology, operations optimisation or related domains is preferred.
- Experience designing experiments, building prototypes, validating models and documenting technical results.
- Experience leading technical R&D workstreams, mentoring engineers or coordinating cross-functional technical teams.
- Research outputs, peer-reviewed publications, patents, recognised technical reports or applied R&D achievements are preferred, but no specific publication venue is required.
- Hands-on technical capability in tools such as Python, C++, MATLAB, PyTorch, TensorFlow, Spark, cloud platforms, MLOps tools or equivalent technologies.
- Strong written and verbal communication skills and ability to explain complex AI concepts to technical and non-technical stakeholders.
- Legally permitted to work in Hong Kong during the engagement period or able to obtain the required permission before commencement.
Assessment method
Applications will be assessed based on the published role requirements, including relevant STEM qualification, AI / machine-learning R&D experience, EV charging or energy systems relevance, R&D project leadership, research outputs, Hong Kong work eligibility and fit with the planned full-time Hong Kong R&D duties.
Shortlisted applicants may be invited to a technical interview and, where appropriate, a short technical discussion or case exercise related to AI model development, EV charging optimisation or R&D planning.
Internal and external applicants are welcome and will be assessed under the same published criteria.
Application instructions
- Apply through this recruitment platform using the Apply button.
- Upload an up-to-date CV and any brief cover note or portfolio link relevant to the role.
Personal data statement
Personal data collected will be used for recruitment, assessment, employment administration and related audit or compliance purposes. Data should be relevant to the recruitment exercise and will be handled by authorised personnel only.
Equal opportunity statement
All applications will be assessed using job-related criteria. The company supports equal opportunity in recruitment and does not assess candidates on irrelevant personal characteristics.
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人工智能總監（技術研發主管）
職位概述
Sino Express Intelligence Co., Limited 現招聘人工智能總監（技術研發主管），在香港全職從事研發工作，運用人工智能優化電動車充電基礎設施及綠色能源系統。
本職位屬高級技術研發領導職位，負責領導本公司在香港的人工智能研發路線圖、原型開發、模型驗證，以及電動車充電與綠色能源優化方面的技術交付。工作重點包括應用研究、受控試點、可重現的技術文件，以及為支援電動車充電和可持續能源營運的人工智能及數據驅動系統提供技術領導。
本職位是技術研發領導職位，不屬於本公司的法定董事、董事會成員、股東、東主、合夥人或公司管理層職位。
主要職責
- 研發用於電動車充電需求預測、使用率預測及充電站配置分析的人工智能及機器學習模型。
- 利用充電設備遙測數據、故障記錄及受控試點數據，開發、測試及驗證預測性維護模型。
- 研究在營運限制下，用於動態負載平衡、能源管理及顧及電網狀況的排程優化算法。
- 開發用於可再生能源整合、電池調度，以及智能電網相關模擬或試點研究的人工智能方法。
- 設計實驗、訂立評估指標、分析模型表現，並記錄可重現的技術研究結果。
- 開發原型、AI 模型卡（AI model cards）、技術報告、數據管道規格及研發進度文件。
- 統籌技術研發工作項目、指導人工智能／數據人員，並在本職位的技術範圍內支援知識轉移。
- 支援在香港進行的受控研發試點，範圍包括電動車充電優化、利用電腦視覺進行安全監察或佔用情況監察，以及 MLOps 治理。
職位要求
- 持有人工智能、電腦科學、數據科學、工程、能源系統或相關 STEM 學科的博士學位或其他深造學位。此高級技術職位以具博士程度研究經驗者為佳。
- 在人工智能、機器學習、數據分析、優化、電腦視覺、預測建模或相關應用研發方面具備豐富經驗。
- 具備電動車充電、綠色能源、智能電網、能源系統、可持續科技、營運優化或相關領域經驗者為佳。
- 具備設計實驗、建立原型、驗證模型及記錄技術結果的經驗。
- 具備領導技術研發工作項目、指導工程師或統籌跨職能技術團隊的經驗。
- 具研究成果、經同行評審的論文、專利、獲認可的技術報告或應用研發成就者為佳，但不要求於特定發表渠道發表。
- 具備 Python、C++、MATLAB、PyTorch、TensorFlow、Spark、雲端平台、MLOps 工具或同等技術的實務操作能力。
- 具備良好的書面及口頭溝通能力，並能向技術及非技術持份者解釋複雜的人工智能概念。
- 於任職期間合法獲准在香港工作，或能於到職前取得所需許可。
評審方式
申請將根據已公布的職位要求進行評審，包括相關 STEM 資歷、人工智能／機器學習研發經驗、與電動車充電或能源系統的相關經驗、研發項目領導經驗、研究成果、香港工作資格，以及與計劃中的香港全職研發職務的配合程度。
入圍申請人可能獲邀參加技術面試；如合適，亦可能需要就人工智能模型開發、電動車充電優化或研發規劃進行簡短技術討論或個案練習。
歡迎公司內部及外部申請人應徵，所有申請均會按相同的已公布準則評審。
申請方法
- 使用本招聘平台的「Apply／申請」按鈕遞交申請。
- 上載最新履歷；如有，亦可附上與本職位相關的簡短求職信或作品集連結。
- 在申請階段，請勿提交香港身份證副本、護照副本、出生日期、婚姻狀況、照片或與職位申請無關的個人資料。
個人資料聲明
所收集的個人資料將用作招聘、評審、僱用行政及相關審計或合規用途。所提供的資料應與是次招聘有關，並只會由獲授權人員處理。
平等機會聲明
所有申請均會按與職位相關的準則評審。本公司支持平等機會招聘，並不會以與職位無關的個人特徵作為評審因素。
Pay: From $65,000.00 per month
Benefits:
- Employee pension
- Flexible schedule
- Opportunities for promotion
- Professional development
Work Location: In person
