高薪工作機會

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

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.

工作內容：CESBG 產品線:Server / Storage / Networking 1. 硬體電路線路圖設計及佈線審查 2. 硬體電路測試驗證、信號量測 3. 協助工廠端進行試產測試 4. 問題分析及解決方案能力

工作內容：1. 以 AI/ML 專業完成滿足業務需求的演算法與相關功能 2. 規劃數據模型，進行統計與分析，開發資料視覺化圖表 3. 執行機器學習專案，設計、建置與上線

工作內容：CESBG 產品線: Server產品 1.技術可行性分析 2.硬體線路設計 3.硬體設計審查和BOM產出 4.審查 PCB Layout 5.執行開機測試和執行除錯

工作內容：Job Summary: The Statistician/Data Scientist will be responsible for all advanced statistical methods utilized for improving product quality, production yield, and factory effectiveness as well as finding the root-causes, along with other consulting services such as customer targeting and lead scoring in support of sales and marketing activities worldwide. Key Responsibilities: • Design, implement, and refine advanced statistical/Machine Learning models to support product quality improvement, increasing yield and factory effectiveness. • Cultivate strong relationships with production line engineers, IT, and other key stakeholders to ensure alignment of modeling initiatives with company objectives and to identify new hypotheses for model improvements. • Scale out modeling capacity by driving infrastructure improvements such as automation of data preparations, model training, implementation, and optimization. • Support integration of models into tools for use by product engineers and business analysts. • Engage with customers to develop and customized data analytics solutions to address special needs. • Address ad hoc queries from management and present actionable recommendations in a clear, concise, and convincing manner. • Communicate the application and benefits of using various predictive modeling techniques to improve decision-making to customers and stakeholders. • Collaborate effectively with team members, whether leading projects or supporting initiatives led by others. • Provide direction, training, and guidance to less experienced team members.

工作內容：1.擔任新產品導入(NPI)EE工程師,協助釐清試產產品問題 2.開發階段問題點反饋與改善進度追蹤 3.銜接開發資料彙整後移轉生產單位 4.測試項目規格及治工具設計開發 5.測試設備研究與導入 6.配合開發需求進行DOE執行與結果確認 7.與研發團隊(硬體/軟體)/工廠團隊(PE/TE/QM/...)橫向溝通,反饋生產問題及建議 8.協助車用產品稽核活動準備、稽核、彙整資料等事宜 產品: 電動車用產品,如VCU, HPC,充電樁 等 消費型電子產品,如手機/機器人/數位健康/4G,5G無線分享器等

工作內容：1.應收、應付帳款管理；存貨、固定資產管理；費用管控； 2.作業流程審核； 3.專案管控； 4.經營管理報表編制。

工作內容：1.與客戶討論擬定測試項目 2.Server 可靠度測試及分析 3.專案前期:RFQ/polling/NRE/測試規劃評估 4.專案中期:Test Plan/Test Report/專案執行 5.專案後期:問題追蹤及分析驗證

工作內容：1.固定資產管理、費用管控 2.各月費用達成率分析及差異說明 3.經營管理報表編制 4.主管交辦事項 5.存貨管理、成本月結及成本分析 6.經營管理報表/報告編制及待辦事項追蹤。 7.覆核各單位所編製年度預算並進行追蹤