{
    "schema_version": "via_ai_product_manager_jobs_v1",
    "data_type": "ai_product_manager_jobs",
    "job": {
        "job_title": "计算机视觉算法高级专家（HK)",
        "job_level": "专家",AI生成
        "work_category": "全职",AI生成
        "department": "",
        "location": "香港",
        "work_mode": "现场办公",AI生成
        "job_category": "AI模型算法工程师"AI生成
    },
    "company": {
        "company_name": "某知名企业",
        "company_industry": "电子商务",
        "company_size": "500-999人",
        "company_website": "",
        "company_description": ""
    },
    "compensation": {
        "salary_range": {
            "min": 100000,
            "max": 200000,
            "currency": "CNY",
            "cycle": "month"
        },
        "benefits": ""
    },
    "requirements": {
        "working_years": 10,
        "degree": "硕士",
        "language": "英文",AI生成
        "visa_support": "",
        "responsibilities": "",
        "requirements_text": "发表算法相关优秀论文\n机器学习\n深度学习\n目标检测\n图像处理库（OpenCV等）\n参加算法相关竞赛/获奖\n人脸识别\n活体检测\nIntroduction\nWe are seeking a highly skilled Senior AI Engineer to join our Computer Vision team. This role is focused on:\nDeepfake Generation and Detection – Developing advanced algorithms to create and identify synthetic media, ensuring the integrity of biometric security.\nInjection Attack Prevention – Researching and implementing defenses against injection attacks in biometric authentication systems.\nGeneral OCR for Global IC Cards – Enhancing Optical Character Recognition (OCR) solutions for secure and accurate extraction of information from various identity cards worldwide.\nImage/Video Generation in AIGC – Exploring and applying AI-generated content (AIGC) techniques to create and manipulate images and videos.\nMulti-Modality Security – Leveraging a combination of images, videos, and user behaviors to enhance security through cross-modal AI techniques.\nThe ideal candidate will contribute to the development of innovative solutions to safeguard biometric processing systems and enhance security across multiple AI-driven applications.\nResponsibilities\nDevelop and implement state-of-the-art computer vision technologies, including deepfake detection, general OCR recognition, and AI-generated media processing.\nResearch and build robust solutions for biometric security, including injection attack prevention and multi-modal authentication techniques.\nCollaborate with cross-functional teams to integrate solutions into existing platforms, ensuring scalability and performance.\nStay up-to-date with industry trends and advancements in computer vision, machine learning, and security.\nContribute to research, experimentation, and innovation in biometric security solutions.\nRequirements\nBachelor’s degree (or higher) in Computer Science, Electrical Engineering, or a related field, with a focus on computer vision or machine learning.\nAt least 8 years of industry experience in developing computer vision solutions, including liveness detection and anti-forgery measures.\nStrong experience in AI and machine learning technologies, particularly in applications related to computer vision.\nHands-on experience in developing large-scale projects involving face recognition, liveness detection, and deepfake detection.\nProficiency in deep learning frameworks such as TensorFlow, PyTorch, or OpenCV.\nStrong analytical and problem-solving skills.\nPreferred Qualifications\nExperience working in fast-paced tech companies or startup environments.\nContributions to open-source projects or research publications in the field of computer vision and biometric security.\nFamiliarity with edge AI and real-time processing for computer vision applications.\n认证资质\n人力资源服务许可证",
        "skills": [AI生成
            "模型训练与算法优化",
            "多模态AI应用",
            "编程与代码实现",
            "上下文/知识工程",
            "复杂问题分析与解决"
        ],
        "preferred_qualifications": "",
        "job_highlights": ""
    },
    "contact": {
        "recruiter_name": "",
        "contact_methods": [
            {
                "type": "apply_link",
                "value": "https://www.zhipin.com/job_detail/155e4fab1015e62703Nz0928EVJR.html"
            }
        ]
    },
    "posting": {
        "posting_id": "155e4fab1015e62703Nz0928EVJR",
        "post_date": "",
        "hire_time": "",
        "update_date": "",
        "job_url": "https://www.zhipin.com/job_detail/155e4fab1015e62703Nz0928EVJR.html"
    },
    "fulltext": "发表算法相关优秀论文\n机器学习\n深度学习\n目标检测\n图像处理库（OpenCV等）\n参加算法相关竞赛/获奖\n人脸识别\n活体检测\nIntroduction\nWe are seeking a highly skilled Senior AI Engineer to join our Computer Vision team. This role is focused on:\nDeepfake Generation and Detection – Developing advanced algorithms to create and identify synthetic media, ensuring the integrity of biometric security.\nInjection Attack Prevention – Researching and implementing defenses against injection attacks in biometric authentication systems.\nGeneral OCR for Global IC Cards – Enhancing Optical Character Recognition (OCR) solutions for secure and accurate extraction of information from various identity cards worldwide.\nImage/Video Generation in AIGC – Exploring and applying AI-generated content (AIGC) techniques to create and manipulate images and videos.\nMulti-Modality Security – Leveraging a combination of images, videos, and user behaviors to enhance security through cross-modal AI techniques.\nThe ideal candidate will contribute to the development of innovative solutions to safeguard biometric processing systems and enhance security across multiple AI-driven applications.\nResponsibilities\nDevelop and implement state-of-the-art computer vision technologies, including deepfake detection, general OCR recognition, and AI-generated media processing.\nResearch and build robust solutions for biometric security, including injection attack prevention and multi-modal authentication techniques.\nCollaborate with cross-functional teams to integrate solutions into existing platforms, ensuring scalability and performance.\nStay up-to-date with industry trends and advancements in computer vision, machine learning, and security.\nContribute to research, experimentation, and innovation in biometric security solutions.\nRequirements\nBachelor’s degree (or higher) in Computer Science, Electrical Engineering, or a related field, with a focus on computer vision or machine learning.\nAt least 8 years of industry experience in developing computer vision solutions, including liveness detection and anti-forgery measures.\nStrong experience in AI and machine learning technologies, particularly in applications related to computer vision.\nHands-on experience in developing large-scale projects involving face recognition, liveness detection, and deepfake detection.\nProficiency in deep learning frameworks such as TensorFlow, PyTorch, or OpenCV.\nStrong analytical and problem-solving skills.\nPreferred Qualifications\nExperience working in fast-paced tech companies or startup environments.\nContributions to open-source projects or research publications in the field of computer vision and biometric security.\nFamiliarity with edge AI and real-time processing for computer vision applications.\n认证资质\n人力资源服务许可证"
}