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  • 可日領薪✌短時段兼差(17-20)⧆近淡水商工⧆網購包裏理貨員C3
  • 企業名 力信股份有限公司
  • 工作地點 新北市淡水區
  • 薪資 時薪190~192元
  • 工作內容 ㊝ 無經驗免擔心,簡單工作好上手 ㊝ 周休二日,見紅休假,不需輪班 【職缺說明】 ✏️工作內容:網購商品以箱貨為主,內有滾輪作業輔助搬運,工作簡單不須經驗,須配合排班。 ✏️工作地點:新北市淡水區淡金路二段69-5號 ✏️工作時間:週一到週五17:00-20:00(貨少排休) ✏️休假制度:週休二日、見紅休 ✏️工作時薪:190元起 ✏️領薪方式:匯款-隔日匯/週領/月領 –––【應徵請洽】––– 小金專員 ☎️0906-932680 或 +LINE:a0906932680 截圖聊聊快速應徵 ㊜ 歡迎無經驗/各界斜槓人士/在學學生 ㊜
  • 力信股份有限公司-使用1111轉職專區 https://central1111.com.tw/turn/
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工作適配度%

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  • ADAS演算法工程師 面試心得
  • 企業名 鴻海精密工業股份有限公司(鴻海)
  • 工作地點 新北市土城區
  • 薪資 時薪190~192元
  • 工作內容 1.車用ADAS 攝影鏡頭、光達、雷達相關應用 2.建立感知融合策略經驗(Camera Radar/Camera 3.點雲物件辨識模型建立 4.串接自動駕駛模擬器與系統驗證開放式平台之軟硬整合 5.配合開發流程撰寫相關文件 6.熟悉以下語言/ 一項或多項)):C++/Python/TensorFlow/PyTorch 程式開發能力,具ROS2 相關開發經驗尤佳 7.主管交辦事項
  • 鴻海精密工業股份有限公司(鴻海)-使用1111轉職專區 https://central1111.com.tw/turn/
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工作適配度%

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  • 數據科學家Data Scientist (Data Science & AI Team) 面試心得
  • 企業名 鴻海精密工業股份有限公司(鴻海)
  • 工作地點 新北市土城區
  • 薪資 時薪190~192元
  • 工作內容 <About the job>: The Data Science & AI team of headquarter IT is developing the frontier and practical analytic technologies that enhance the data value. As the data scientist, you‘ll join the AI/Big Data Analytics program/projects related to management topics, including Commercial/Industrial Engineering/Supply Chain/Financial Performance/Operation...etc., to build the model or algorithm to empower data-driven & analytics-driven for driving business value from data insights in this world-class company (Fortune Global 500, 22nd). <Job Description>: .Design, implement and refine advanced Statistical Modeling/Machine Learning/Deep Learning/Numerical Simulation/Optimization Algorithm Models(at least one of the fields) .Ensure alignment of modeling initiatives with the requirement goal defined by key stakeholders and company objectives and identify new hypotheses for model improvements. .Executing big data analysis and predictive analytics projects include feature engineering, model building, algorithm development, etc. .Works closely with a team of data system analysts, business data analysts, data engineers, data platform architects, etc. .Collaborate effectively with team members, whether leading tasks or supporting initiatives led by others. .Self-motivated, Result-oriented, and interested in applying quantitative methods to solving business and engineering problems. <Skills> .Experience with any one of Machine Learning, Statistical Modeling, Deep Learning(Nature Language/Image), Econometric Modeling, Optimization Algorithm(OR), Numerical Simulation..., etc., model/algorithm building of the practical application in the industry. .Familiarity with programming languages like Python or R, or Java. (Good programming skills in Python is a plus). .Advanced ability to perform Exploratory Data Analysis and working knowledge of statistics. .Ability to visualize data in the most effective way possible for a given task, especially visualize models and results and debug and troubleshoot code and models. .Big on finding the many insights based on the data and being passionate and patient about working with complex data.
  • 鴻海精密工業股份有限公司(鴻海)-使用1111轉職專區 https://central1111.com.tw/turn/
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  • 電子零件工程工程師 面試心得
  • 企業名 鴻海精密工業股份有限公司(鴻海)
  • 工作地點 新北市土城區
  • 薪資 時薪190~192元
  • 工作內容 1. 協助新產品開發&替代料導入 2. 替代料驗証進度追蹤及記錄 3. 零件品質管理 4. 供應商關係管理 (供應鏈狀態/專業技術諮詢) 5. 零件系統與流程優化與管理,包含PCN/ECN/EOL管理 6. 2nd source零件資料庫維護 7. 溝通與協調零件驗證事宜, 報告給 Dell CE team 8. 2nd CM (contract Manufacturer) project (OEM)
  • 鴻海精密工業股份有限公司(鴻海)-使用1111轉職專區 https://central1111.com.tw/turn/
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工作適配度%

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  • 機器學習工程師 AI/ML Engineer(Data Science & AI Team) 面試心得
  • 企業名 鴻海精密工業股份有限公司(鴻海)
  • 工作地點 新北市土城區
  • 薪資 時薪190~192元
  • 工作內容 工作內容: <About the job>: We‘re seeking AI/ML enthusiasts with experience and skills in working and are passionate about extending AI/ML expertise. The Data Science & AI team of headquarter IT is developing the frontier and practical analytic technologies that enhance the data value. As the AI/ML engineer, you‘ll join the AI/Big Data Analytics program/projects of headquarter IT and assist in building the model/algorithm to empower data-driven & analytics-driven for driving business value from data insights in this world-class company (Fortune Global 500, 22nd). <Job Type Option:> *Type1: AI/ML Engineer (Engineering-Oriented) (1) Use Machine Learning/Deeping Learning/Analytical techniques to build models for internal different scenarios and requirements. (2) Building the model lifecycle from data exploration to feature engineering to model evaluation and validity analysis capabilities. (3) Execute efficient, scalable, automated processes for model development, model validation, and model implementation (4) Deploy the model to production and maintain/optimize the models by MLOps. (5) Experience in Azure Data Lake, Azure Databricks, and Azure Data Factory is preferred. (6) Experience in AWS SageMaker is preferred. *Type2: NLP AI Engineer (1) Focused on NLP Algorithm/Machine Learning & Deeping Learning for Text. (2) Develop the Algorithm of NLP(Natural Language Processing)/ Computational Linguistics/Text Mining/Topic Modeling (3) Join the project to build the end-to-end NLP systems, from understanding the requirements to selecting training datasets to model, evaluate, and deliver/deploy NLP models. (4) Fine-tune LLMs and optimize and resolve issues related to LLM usage in production scenarios, enhancing reliability, accuracy, and performance. *Type3: AI/ML Engineer (Analytics-Oriented) (1)Use Machine Learning/Deeping Learning/Analytical techniques to build models for internal different scenarios and requirements. (2)Build the model lifecycle, e.g., from data exploration to feature engineering to model evaluation and validity analysis capabilities. (3)Execute efficient, scalable, automated processes for model development, model validation, and model implementation. (4)Apply quantitative methods including but not limited to above tasks to solve business problems. (5)Being passionate and patient about working with complex data <Skills> .Type1 & 3 : AI/ML Engineer(Engineering-Oriented & Analytics-Oriented) (1)Familiarity with any one of Machine Learning, Statistical Modeling, Deep Learning (Nature Language/Image/Time Series) model/algorithm building of the practical application in the industry. (2) Being familiar with Python Libraries, e.g., Numpy, Pandas, Scikit-Learn, SciPy, Matplotlib, etc. (3)(For Engineering-Oriented) Knowledge of Big Data with Machine Learning/Statistical modeling related technologies such as Spark MLlib or PySpark or SparkR/SparklyR. (4)(For Analytics-Oriented) Knowledge of Deep Learning Framework such as TensorFlow/Caffe/Pytorch/Keras. .Type 2: NLP AI Engineer (1) Experience with text mining algorithms such as word segmentation, POS tagging, named entity recognition...etc. (2) Experience in algorithms and libraries of NLP(Natural Language Processing), especially in machine learning techniques applied to NLP, such as Text mining, Text classification, Information Extraction, Keyword Tagging, and content discovery. (3) Familiar with one general-purpose programming language (e.g., Python, Java, C/C++) (4) Experience manipulating and integrating unstructured, semi-structured, and structured data. (5) Excellent knowledge and demonstrable experience using open-source NLP packages such as NLTK, Word2Vec, Standford CoreNLP, SpaCy, and Gensim. (6) Knowledge of Open source LLMs, such as BERT, BLoom, LLaMA..., etc., and NLP frameworks, like Hugging Face Transformers, PyTorch /JAX
  • 鴻海精密工業股份有限公司(鴻海)-使用1111轉職專區 https://central1111.com.tw/turn/
應徵
工作適配度%

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根據履歷表的填寫狀況,智慧分析您與工作的適配程度。

8/26

應徵
工作適配度%

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根據履歷表的填寫狀況,智慧分析您與工作的適配程度。

8/26

應徵
工作適配度%

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根據履歷表的填寫狀況,智慧分析您與工作的適配程度。

8/26