We are looking for a skilled AI and Language Model Engineer to join our team at the Industrial Technology Research Institute‘s Biomedical Data and Artificial Intelligence Technology Division. In this role, you will be responsible for researching and applying AI and large language models to support intelligent healthcare and new drug development. You will also design and develop these models to address challenges in healthcare data analysis and natural language processing. Collaborating with relevant teams, you will integrate these models into intelligent healthcare and new drug development fields, enhancing the efficiency and accuracy of healthcare professionals‘ work. Furthermore, you will be responsible for keeping up-to-date with domestic and international AI and language model technology trends, enhancing the team‘s technological innovation and application capabilities. Responsibilities: 1. Research and apply AI and large language models to support intelligent healthcare and new drug development. 2. Design and develop AI and large language models to address challenges in healthcare data analysis and natural language processing. 3. Collaborate with relevant teams to integrate AI and large language models into intelligent healthcare and new drug development fields, enhancing the efficiency and accuracy of healthcare professionals‘ work. 4. Keep up-to-date with domestic and international AI and language model technology trends, enhancing the team‘s technological innovation and application capabilities. Requirements: 1. Master‘s degree in Computer Science, Artificial Intelligence, or a related field. 2. Proficient in programming languages such as Python, R, and C++. 3. Strong background in deep learning, natural language processing, and machine learning. 4. Experience with designing and developing AI and large language models. 5. Excellent problem-solving skills and the ability to work independently and in a team environment. If you are passionate about AI and language models and want to make a significant contribution to the development of intelligent healthcare and new drug development, we encourage you to apply for this exciting opportunity.醫藥工程學類,生物學類,藥學學類

外送廣告-演員/model 各類網路戲劇.偶像劇.電影.微電影.廣告.宣導影片徵演員/動態拍攝模特兒/平面 不是單一案子也會接觸 網路戲劇/八點檔/MV/廣告/平面/YOU影片拍攝 無特殊要求/無經驗可(可兼職/可提前告知通告時間) 對於鏡頭前工作有興趣的新人請預約面試時間,熱烈歡迎喜愛演藝工作者，加入我們的行列！ 臉書粉絲團: https://www.facebook.com/bingfu1060/photos_stream 如果你有興趣在 休 假 時增 加 打 工 機會.接接兼職的戲劇/廣告/平面工作.請跟我們連絡 外縣市也可面試，工作地點以雙北，桃園，基隆，新竹，宜蘭居多、必接受在台北公司面試(工作地點以拍攝地點而定) 須提前預約面試時間.請耐心等候我們連絡你哦~

美食廣告-演員/model 也會接觸的工作有 網路戲劇/八點檔/MV/廣告/平面/You Tube影片拍攝 (無經驗可/兼職可) 各類網路廣告/電視廣告/一般廣告/網路戲劇/偶像劇/ /電影/微電影/八點檔/宣導影片/形象影片/業配文商品拍攝/動態拍攝模特兒/MV拍攝/平面/臉書/IG/ You Tube/LINE/購物台拍攝 不是單一案子,通告多元化. 對於鏡頭前工作有興趣的新人請預約面試時間,熱烈歡迎喜愛演藝工作者，加入我們的行列！ 臉書粉專: https://www.facebook.com/bingfu1060/photos_stream 如果你有興趣在 休 假 時增 加 打 工 機會.接接兼職的戲劇/廣告/平面工作.請跟我們連絡 外縣市也可面試，工作地點以雙北，桃園，基隆，新竹，宜蘭居多、必接受在台北公司面試(工作地點以拍攝地點而定) 須提前預約面試時間.請耐心等候我們連絡你哦~ 洽詢時間為週二~週六/下午2點半~8點半之間.謝謝! 洽詢時間為週二~週六/下午2點半~8點半之間.謝謝! 週日/週一為公司休假日哦!

網路廣告-演員/model 各類網路戲劇/偶像劇/八點檔/電影/微電影/廣告/宣導影片/形象影片/動態拍攝模特兒/平面/臉書/IG/YOU/購物台拍攝 不是單一案子,通告多元化. 無特殊要求/無經驗可(可兼職/可提前告知通告時間) 對於鏡頭前工作有興趣的新人請預約面試時間,熱烈歡迎喜愛演藝工作者，加入我們的行列！ 臉書粉絲團: https://www.facebook.com/bingfu1060/photos_stream 如果你有興趣在 休 假 時增 加 打 工 機會.接接兼職的戲劇/廣告/平面工作.請跟我們連絡 外縣市也可面試，工作地點以雙北，桃園，基隆，新竹，宜蘭居多、必接受在台北公司面試(工作地點以拍攝地點而定) 須提前預約面試時間.請耐心等候我們連絡你哦~

開立發票、傳票製作、核對帳款、應收帳款、銀行作業、報表整理及主管交辦事項!!會計學類

霏訊為國際連鎖專業模特兒經紀代理公司。 現誠徵國際專業模特兒經紀人，公司欲予專業培訓爾後負責洽談廣告及各項平面專案。 想成為一位國際專業模特兒經紀人的你/妳，歡迎加入我們的行列！ 應徵條件： -英語一般會話說寫能力。 -個性開朗。 -能單獨與客戶洽談。 待遇： -有經驗者可面議，除底薪外，公司採取業績獎金制度。 -若入職後表現優異，有機會能至歐美地區洽談商務。 請參考本公司網站: www.fashionmm.tw

Participate in the complete life cycle of deep learning model application and product development. Including data collection, data cleansing, data preprocessing, model design, model training, model deployment, model performance evaluation, etc. Develop related technologies such as classification, detection, segmentation, and generation of video/audio data, and use deep reinforcement learning to programming and scheduling related issues. Applications include: smart city, smart communications, and smart factory.電機工程學類,電子工程學類,資訊工程學類

1.Spice model generation and verification for advanced and specialty technologies 2.Spice Model Parameter Extraction 3.Test key design 4.Internal and external customer support 5.Advanced modeling tools, extraction algorithms and model equation benchmarking電機工程學類,電子工程學類,物理學類

Develop a comprehensive AI model security testing core algorithm by leveraging techniques such as Adversarial Examples, Adversarial Machine Training, and AI model security.電機工程學類,電子工程學類,資訊工程學類

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電機工程學類,電子工程學類,資訊管理學類

1. Spice model parameter extraction and verification 2. Device characterization and test key design 3. Co-work with designer and process technology team during product development for model generation, device/circuit and design debug 『具工作經驗者，薪資另議』

1. SoC system power/performance analysis and improve 2. Develop IP power model for use cases (simulation and measurement for correlation) 3. Co-work with IP team to optimize power model (power reduction and power correctness) 4. Power analysis in SOC architecture, use cases and IP design (power/performance/area) 5. Planning low power architecture and power management電機工程學類,電子工程學類,通信學類

1.Writing behavioral model 2.Responsible for functional verification電機工程學類,電子工程學類,資訊工程學類

1. Develop generative AI technology for image and 3D modeling. 2. Responsible for the development of computer vision AI algorithms, such as person tracking, pose detection and recognition, as well as the development and optimization of large-scale object detection and recognition. 3. Responsible for the research and development of radiance fiends 3D model generation and interactive technology, such as 3D modeling from real object images, 3D model manipulation and animation, VR/AR interaction. 4. Participate in team study groups for technical sharing and discussions.電機工程學類,電子工程學類,資訊工程學類

Key qualifications: 1. MS degree or above with EE or CS background 2. Familiar with SystemVerilog and Verilog 3. Exposure to OVM/UVM/VMM methodology 4. Exposure to constrained-random based verification environment 5. Exposure to create coverage model and drive coverage closure in including code/functional coverage. 6. Be able to develop a test bench from scratch Preferred qualifications: 1. Familiar with IEEE 802.3 standard 2. Familiar with TCPIP protocol stacks 3. Familiar Ethernet Switch/Router/NAT 4. Familiar xDSL standards 5. Familiar with 802.11x standards 6. Familiar with SOC bus fabric and AXI/AHB/OCP bus protocols 7. Familiar SVA 8. Familiar Formal verification methodology 9. Perl/Python experience Job descriptions: 1. Test plan creation 2. Develop testbench, test cases, reference model, coverage model and regression suite 3. Run RTL and gate level simulation, debug failures, manage bug tracking 4. Drive and achieve coverage closure (MD17C0031)電機工程學類,電子工程學類,資訊工程學類

Key qualifications: 1. Master degree or above with EE or CS background 2. Familiar with SystemVerilog and Verilog 3. Exposure to OVM/UVM/VMM methodology 4. Exposure to constrained-random based verification environment 5. Exposure to create coverage model and drive coverage closure in including code/functional coverage. 6. Be able to develop a test bench from scratch Preferred qualifications: 1. Familiar with PCI/USB/SATA/Serdes 2. Familiar with Bluetooth 3. Familiar with SOC bus fabric and AXI/AHB/OCP bus protocols 4. Familiar DDR2/3/4 5. Familiar with any type of flash memory 6. Familiar SVA 7. Familiar Formal verification methodology 8. Experience of writing bootloader for ARM/MIPS CPUs 9. Perl/Python experience Job descriptions: 1. Test plan creation 2. Develop testbench, test cases, reference model, coverage model and regression suite 3. Run RTL and gate level simulation, debug failures, manage bug tracking 4. Drive and achieve coverage closure (MD17C0031)電機工程學類,電子工程學類,資訊工程學類

運用如Adversarial example、Adversarial Machine Training、AI model security等技術，建立對AI模型安全驗測核心演算法。電機工程學類,電子工程學類,資訊管理學類

1. 市場趨勢分析/消費者需求/競爭者分析/產業動態訊息調研。 2. 新商品/服務 Business Model 與 Profit Model 企劃，及後續事業化推動專案管理。 3. 組織管理機制、流程/程序、檢核點與表單設計與後續推動管理。 4. 跨單位溝通、彙整各項資訊及專案會議資料。 5. 其他主管交辦事項。

Participating in the development of the AI testing platform, responsible for the research and development of AI model security and robustness modules, and integrating with the design and development of the AI testing platform.電機工程學類,電子工程學類,資訊工程學類

1. Generative AI foundation model建立 2. 將Gen. AI model應用於實際解決方案 3. 訓練與開發適用於智慧製造之模型 4. AI與智慧製造相關專案執行 5. 其他主管交辦事項 【加分項目】 ◆ 熟悉生成式AI技術 ◆ 熟悉機器學習、深度學習、自然語言處理技術 (NLP) ◆ 熟悉Graph DB知識與技術 #Python #機器學習 Machine Learning #大數據 Big Data工業工程學類,數學統計學門,資訊工程學類