轉職找工作推薦

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。

5/16

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。

5/16

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。

5/16

  • Smart Home-Sales-D事業群 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 面議（經常性薪資達4萬元或以上）40000~0元
  • 工作內容 Identifies market potential by qualifying accounts. Initiates sales process by scheduling appointments; making initial presentation; understanding account requirements. Closes sales by building report with potential account; explaining product and service capabilities; overcoming objections; preparing contracts. Expands sales in existing accounts by introducing new products and services; developing new applications. Contributes information to market strategy by monitoring competitive products and reactions from accounts. Accomplishes marketing and organization mission by completing related results as needed.
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    • 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。

5/16

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。

5/16

  • 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 面議（經常性薪資達4萬元或以上）40000~0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.
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    • 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。

5/16

  • 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 面議（經常性薪資達4萬元或以上）40000~0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
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    • 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。

5/16

  • CPLD/FPGA Engineer工程師 (土城) 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 面議（經常性薪資達4萬元或以上）40000~0元
  • 工作內容 產品線: Server產品 1.Familiarity with VHDL/Verilog coding and FPGA/CPLD design flow is a must 2.Familiarity with Lattice/Altera/Xilinx EDA design tool. 3.Familiarity with FPGA/CPLD design in server application and multiple bus protocols including I2C / power sequence / SPI / LPC / SGPIO / I2C switch/ UART / PWM / eSPI 4.Strong HW and x86 architecture knowledge is a plus. 5.Fluent English written and verbal communication skills. 6.Integration and test experience 7. Highly self-motivated, able to work independently in a lab environment.
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    • 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－%

登入 後即可查看

根據履歷表的填寫狀況，智慧分析您與工作的適配程度。

5/16

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。

5/16

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。

5/16

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