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AI Technology EngnieerAI 技術(shù) 工程師 此職位的主要義務(wù)和職責(zé) Listing of the key duties and responsibilities performed by the job 1. System Development: a. Design, develop, and deploy CV and RPA algorithms and systems to semiconductor assembly quality control and automation. b. Develop and integrate generative AI models to generate, simulate, or optimize manufacturing processes. 2. System Quality Assurance: a. Implement real-time image analysis systems to detect, classify, and track defects in semiconductor components and assemblies. b. Utilize AI techniques to analyze data and provide predictive insights for quality assurance. 3. Data Analysis and Model Training: a. Analyze visual and operational data to identify trends, patterns, and areas for improvement in manufacturing processes. b. Train and optimize machine learning models using extensive datasets to enhance accuracy and performance. 4. System Integration: a. Integrate computer vision and AI solutions with existing manufacturing systems and platforms to ensure seamless operation. b. Collaborate with hardware engineers to ensure compatibility and robustness of computer vision setups. 5. Documentation and Reporting: a. Create detailed technical documentation for developed systems, including specifications, user guides, and training materials. b. Present findings, recommendations, and performance metrics to management and relevant stakeholders clearly and compellingly. 6. Continuous Improvement: a. Stay abreast of advancements in computer vision, generative AI, and manufacturing technologies. b. Propose innovative solutions and process enhancements to maximize efficiency and product quality. 1. 系統(tǒng)開發(fā)： a. 設(shè)計、開發(fā)和部署 CV 和 RPA 算法和系統(tǒng)，用于半導(dǎo)體組裝質(zhì)量控制和自動化。 b. 開發(fā)和集成生成式 AI 模型，以生成、模擬或優(yōu)化制造流程。 2. 體系質(zhì)量保證： a. 實(shí)施實(shí)時圖像分析系統(tǒng)，以檢測、分類和跟蹤半導(dǎo)體元件和組件中的缺陷。 b. 利用 AI 技術(shù)分析數(shù)據(jù)并提供預(yù)測性見解以保證質(zhì)量。 3. 數(shù)據(jù)分析與模型訓(xùn)練： a. 分析視覺和運(yùn)營數(shù)據(jù)，以確定制造流程中的趨勢、模式和需要改進(jìn)的領(lǐng)域。 b. 使用廣泛的數(shù)據(jù)集訓(xùn)練和優(yōu)化機(jī)器學(xué)習(xí)模型，以提高準(zhǔn)確性和性能。 4. 系統(tǒng)集成： a. 將計算機(jī)視覺和 AI 解決方案與現(xiàn)有的制造系統(tǒng)和平臺集成，以確保無縫運(yùn)行。 b. 與硬件工程師合作，確保計算機(jī)視覺設(shè)置的兼容性和穩(wěn)健性。 5. 文檔和報告： a. 為開發(fā)的系統(tǒng)創(chuàng)建詳細(xì)的技術(shù)文檔，包括規(guī)格、用戶指南和培訓(xùn)材料。 b. 清晰而令人信服地向管理層和相關(guān)利益相關(guān)者展示調(diào)查結(jié)果、建議和績效指標(biāo)。 6. 持續(xù)改進(jìn)： a. 緊跟計算機(jī)視覺、生成式 AI 和制造技術(shù)的進(jìn)步。 b. 提出創(chuàng)新解決方案和工藝改進(jìn)，以最大限度地提高效率和產(chǎn)品質(zhì)量。 任職資格Qualifications 教育背景Education 1. Master’s degree in computer science, Electrical Engineering, Robotics, AI, or a related field.計算機(jī)科學(xué)、電氣工程、機(jī)器人技術(shù)、人工智能或相關(guān)領(lǐng)域的碩士學(xué)位。 知識Knowledge *職位要求的信息或知識范圍 Statement of the Informational or conceptual framework required by the Job 1. Proficient in programming languages such as Python, C++, or Java relevant to computer vision and AI applications. 2. Experience with computer vision libraries (e.g., OpenCV, TensorFlow, Keras) and generative AI tools (e.g., GANs, VAEs). 3. Understanding of machine learning algorithms, especially in image processing and automated decision-making. 1. 精通與計算機(jī)視覺和 AI 應(yīng)用相關(guān)的編程語言，如 Python、C++ 或 Java。 2. 具有計算機(jī)視覺庫（例如 OpenCV、TensorFlow、Keras）和生成式 AI 工具（例如 GAN、VAE）的經(jīng)驗(yàn)。 3. 了解機(jī)器學(xué)習(xí)算法，尤其是在圖像處理和自動決策方面。 相關(guān)工作經(jīng)驗(yàn)Experiences Experienced candidates, Semiconductor Engineering working experience is a plus. Experience in computer vision applications and Gen-AI development or a related field. Familiarity with generative AI frameworks and methodologies Relevant certifications in computer vision, artificial intelligence, or machine learning (AWS Certified Machine Learning, Google AI certification) are a plus. 有經(jīng)驗(yàn)的候選人，有半導(dǎo)體工程工作經(jīng)驗(yàn)者優(yōu)先。 具有計算機(jī)視覺應(yīng)用程序和 Gen-AI 開發(fā)或相關(guān)領(lǐng)域的經(jīng)驗(yàn)。 熟悉生成式 AI 框架和方法計算機(jī)視覺、人工智能或機(jī)器學(xué)習(xí)方面的相關(guān)認(rèn)證（AWS 認(rèn)證機(jī)器學(xué)習(xí)、Google AI 認(rèn)證）是加分項(xiàng)。 其他勝任力Competencies &Soft Skill 1. Good English skill, both written and oral 2. Good teamwork spirit Strong self-learning motivation, good communication skill. 1. 良好的英語書面和口頭表達(dá)能力 2. 良好的團(tuán)隊合作精神 較強(qiáng)的自學(xué)動機(jī)，良好的溝通能力。