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- 了解電力能源相關領域知識（太陽能、風力、電力平衡調度 等等），以效率為前提，應用 ML 來解決能源領域常見的痛點 - 開發或維護 ML 的相關產品：太陽能發電預測、太陽能電廠異常偵測、太陽能清洗預

1、開發經驗數據分析，特別是LLM和多模式基礎模型。 2、使用深度學習框架，如TensorFlow和PyTorch的經驗。 3、使用RAG，SelfRAG，VectorDb，GraphDB的經驗。 4、使用LLM優化框架的經驗，例如VLLM、 Ex-llama、 llama.cpp。 5、使用 Docker、Kubernetes 、Triton Inference Server 或 TensorRT的經驗。 6

Role: Deploy, manage, and optimize machine learning models in production environments, ensuring seamless integration and efficient operations. Responsibilities: 1. Check deployment pipelines for machine learning models. 2. Review code changes and pull requests from the data science team. 3. Trigger CI/CD pipelines after code approvals. 4. Monitor pipelines, ensuring all tests pass, and model artifacts are generated/stored correctly. 5. Deploy updated models to production after pipeline

【 Backend-end Engineer (Data)】 【 Job Summary】 As a Python Engineer at Mlytics, you will play a pivotal role in designing, developing, and maintaining data solutions that power our data-driven initiatives. Leveraging your expertise in Python programming, database management, and cloud architecture, you will be responsible for building robust data pipelines, optimizing data processes, and developing RESTful APIs to enable seamless data access and integration. Collaborating closely with analysts, f

《Responsibilities》 We are looking for technical experts in cloud service provisioning, operating and managing distributed application systems on mainstream cloud providers such as AWS, GCP, Azure, Aliyun. You are responsible for: ● Deploying, managing, and operating scalable, highly available, and fault tolerant systems ● Migrating an existing on-premises application to cloud ● Implementing and controlling the flow of data to and from cloud ● Selecting the appropriate cloud service based on comp

Join HOMEE AI, a leader in 3D AI technology revolutionizing the furniture industry, as a Senior Software Engineer. We seek experts in 3D Gaussian Splatting, Semantic Segmentation, and 3D vSLAM to enhance our spatial planning technology. This role demands proficiency in algorithm development, data optimization, and 3D model reconstruction, leveraging cutting-edge techniques for real-world applications. Key Responsibilities: - Develop and optimize algorithms for Gaussian Splatting, Semantic/Instan

1. 樂於閱讀與分享 Computer Vision, Machine Learning Paper，並有能力掌握相關 Library 以 Python或 C/C++實作 2. 熟悉 TensorFlow 或 Pytorch 3. 熟悉 Python 及 C/C++ 4. 熟悉 OpenCV 開發經驗或不使用相關 Library亦能完成所需影像處理功能 5

置為主)，並與演算法或Data團隊合作開發相關產品和應用 - 資料集分析、資料前處理、模型測試及驗證 - ML Ops模型訓練、佈署自動化 ◎《Our requirements for this role》◎ - CS/EE相關科系，有相關工作經驗者尤佳 - 精通 Python 程式

1.資料前處理: 數據清洗、特徵工程、特徵選取 2.應用數據挖掘、機器學習、深度學習、最佳化等技術，建立推薦與決策模型 3.成效指標設計，模型驗證與優化 4.模型生命週期管理，保持預測效

This position is for candidates with a career plan towards being an AI Full Stack Engineer. You will work with AI researchers in academia, implement algorithms, build computer vision services, and develop core ML pipelines. As a member of the AI team, you will work with worldwide fellow AI engineers, including engineers in our New York, India, and Taiwan branches. The goal of the AI team is to continuously optimize our core algorithms for extended-body estimation