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有光集團有限公司由溫豪夫博士與李安國教授共同創立,是一間衍生于香港大學的高科技創業公司。公司擁有一支由教授、博士和博士后組成的人工智能精英團隊,專注于語音識別(ASR)及自然語言處理(NLP)等人工智能前沿技術的研發與應用。公司總部位于香港最大的政府創新創業孵化器香港科學園中,并于深圳、廣州、成都等地設有分公司。2017年11月,有光科技獲得李嘉誠先生的私人投資公司 “維港投資”的Pre-A輪融資,成為其在香港投資的第一家科技初創企業。

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在Fano, 你可以接觸到當下最尖端的AI技術,與最優秀的人共事,

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員工期權激勵計劃讓你有機會成為公司的一部分,共享公司發展紅利。

  • Application Consultant

    Responsibilities:

    • Learn and master in product features and acts was Application specialist to present our product to clients for understanding the value of the product.
    • Gather user requirements and translate into system configuration requirement.
    • Document System Specification, Operation Manual, Use Case, UAT Test Plan, provide training to user and support UAT with user.
    • Keep track of issue status and follow up in well manner.
    • Cooperate with other teams or customers on various training and support issues to 3rd party partner and customers.
    • Capable of learning new technology and map it with user requirement and product features for translating into the deliverable requirement.

    Requirements:

    • Holding a degree in any relevant area like Finance, Business Management, Project Management, Information System and Computer Science.
    • Hands-on experience in gathering business and use-case requirements.
    • Excellent Client-facing communications and English writing skills.
    • Fast learner and adapt new product and solutions.
    • Should posses very good communication and presentation skills.
    • Independent and Self-motivated with good problem solving skills.
    • Fluent in English, Cantonese and Mandarin.
    • Minimum 2+ years of experience as consultant role in application/software project management.
    • Willing to travel occasionally.

    Plus:

    • Experience with python programming, AI technology, microservice architectures is an advantage (Docker, RESTful API’s).

    Notes:

    • Interesting parties would need to submit Resume with:
    • 1. Notice period of your current job.
    • 2. Current & expected salary for the application.
    • Submission without above information will NOT be considered.
    立即申請
  • Data Scientist

    Responsibilities:

    • Perform research directed toward investigation, evaluation, and application of known data analytic theories and principles.
    • Investigate crowdsourcing-based methods and develop datasets related to NLP, speech recognition, and related areas.
    • Plan and conduct, or direct engineering personnel performing complex engineering analyses and experiments to test, prove, or modify theoretical propositions on basis or research findings and experiences of others researching in related technological areas.
    • Involve software engineering activity.
    • Evaluate findings to develop new concepts, products, or processes, or to develop applications of findings to new uses.
    • Write technical papers to be publish in prestigious conferences and journals.
    • Prepare technical reports for use by engineering or management personnel for long- and short-range planning, or for use by product personnel in sales or technical services activities.
    • Duties are performed at various levels within the defined title.

    Requirements:

    • PhD degree in Computer Science, Electrical and Electronic Engineering, or related fields of study.
    • Knowledge on crowdsourcing and information theory is highly preferred.
    • Excellent verbal and written communication skills in English.
    • Strong programming skills in C/C++/MATLAB/Python, or others related to AI/Big data applications is desirable.
    • Experience in machine learning and AI algorithms, especially in natural language processing (NLP), speech recognition, and/or related areas is preferred.
    • Strong mathematical/analytical foundation, problem solving skills, flexibility in acquiring new knowledge.
    立即申請
  • Research Scientist/Senior Research Scientist

    Responsibilities:

    • Perform research directed toward investigation, evaluation, and application of known machine learning theories and principles, especially deep learning techniques.
    • Plans and conducts, or direct engineering personnel performing complex engineering analyses and experiments to test, prove, or modify theoretical propositions on basis or research findings and experiences of others researching in related technological areas.
    • Evaluate findings to develop new concepts, products, or processes, or to develop applications of findings to new uses.
    • Write technical papers to be publish in prestigious conferences and journals.
    • Prepare technical reports for use by engineering or management personnel for long- and short-range planning.

    Requirements:

    • A PhD degree holder in Computer Science or related disciplines.
    • Excellent verbal and written communication skills in English.
    • Extensive knowledge in machine learning and AI algorithms.
    • Strong mathematical/analytical foundation, problem solving skills.
    • Experience in software developments for machine learning/AI algorithms are highly preferred.
    立即申請
  • Full Stack Software Engineer

    Responsibilities:

    • Responsible for development of product's business logic, making magic happen with latest AI technologies.
    • Work as a team to deliver all products with strong attention to details.
    • Work closely with data science and product teams to deliver the best AI software product.
    • Deploy and debug cross browser/platform applications.
    • You seriously test your changes before hitting the main branch.
    • Document your application design and codes.

    Requirements:

    • Engineering or computer science degree or equivalent.
    • Solid understanding on browser behaviours, design patterns, data structures and algorithms.
    • Writing readable, testable and reusable web components/codes in mind.
    • Hands on experience in JavaScript frameworks/technologies like React/Redux, webpack, HTML5/LESS or any other relevant, (ES7/Typescript is a plus).
    • Hands on experience in web service frameworks Sanic/Koa or any other relevant.
    • Experience in microservices architecture, RESTful APIs, (GraphQL is a plus).
    • Experience in NoSQL/SQL database like MongoDB, (Elastic Search is a plus).
    • Experience in workflow Scrum/Kanban, CI/CD, TDD/BDD.
    • Experience in machine learning framework like Tensorflow/Keras/SciKit is a plus.
    • Experience in building progressive web application is a plus.
    • Experience in C and Cython is a plus.
    • Solid skills in mathematics, particularly in optimization algorithms and probability theories is a plus.
    • Research & development experiences in data mining, machine learning, and related fields is a plus.


    立即申請
  • Full Stack Software Engineer

    Responsibilities:

    • Responsible for development of product's business logic, making magic happen with latest AI technologies.
    • Work as a team to deliver all products with strong attention to details.
    • Work closely with data science and product teams to deliver the best AI software product.
    • Deploy and debug cross browser/platform applications.
    • You seriously test your changes before hitting the main branch.
    • Document your application design and codes.

    Requirements:

    • Engineering or computer science degree or equivalent.
    • Solid understanding on browser behaviours, design patterns, data structures and algorithms.
    • Writing readable, testable and reusable web components/codes in mind.
    • Hands on experience in JavaScript frameworks/technologies like React/Redux, webpack, HTML5/LESS or any other relevant, (ES7/Typescript is a plus).
    • Hands on experience in web service frameworks Sanic/Koa or any other relevant.
    • Experience in microservices architecture, RESTful APIs, (GraphQL is a plus).
    • Experience in NoSQL/SQL database like MongoDB, (Elastic Search is a plus).
    • Experience in workflow Scrum/Kanban, CI/CD, TDD/BDD.
    • Experience in machine learning framework like Tensorflow/Keras/SciKit is a plus.
    • Experience in building progressive web application is a plus.
    • Experience in C and Cython is a plus.
    • Solid skills in mathematics, particularly in optimization algorithms and probability theories is a plus.
    • Research & development experiences in data mining, machine learning, and related fields is a plus.


    立即申請