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We are looking for a highly knowledgeable and enthusiastic machine learning engineer to help solve complex problems across a variety of audio processing projects. You will be both creating new solutions and evaluating existing machine learning (ML) processes, as well as performing statistical analysis to create and analyse large data sets. To ensure success as a machine learning engineer, you should be able to demonstrate solid data science knowledge and experience in a related ML role, as well

Roles & Responsibilities: 1. Designing and Optimizing Large Language Models: Develop and fine-tune large language models tailored for specific applications. 2. Collaboration with MLOps Engineer: Work closely with MLOps engineers to prototype custom solutions, ensuring seamless integration with existing systems. 3. AI/ML Modeling Expertise: - Demonstrate hands-on experience in AI/ML modeling, particularly with complex datasets. - Possess a strong understanding of the theoretical foundations of AI

Google welcomes people with disabilities. Minimum qualifications: Bachelor's degree in Computer Science, related technical field, or equivalent practical experience. Experience collaborating with various teams such as developers, test engineers, and product management. Preferred qualifications: Experience applying AI/ML in automation or data analytics use cases. Experience developing infrastructure and tools to streamline and scale operational workflow. Experience developing back-end services or

▸ Participate in the entire development lifecycle of the MLOps platform ▸ Design robust and scalable systems and implement new functionality and product enhancements ▸ Identify potential system performance bottlenecks and improve them ▸ Translate vague business requirements into practical and dividable user stories ▸ Provide technical guidance to colleagues and establish a developer-friendly environment. ▸ Build reusable code and libraries for future use

You will work with the team to develop features and maintain an online translation system. 此工作主要內容： 1. WritePath 金融資訊新 SaaS 產品全端開發 (PHP and Vue.js )。 2. 參與 WritePath turn-key system (系統及AI/ML) 設計建置。 3. 系統規劃、架構規劃、資料庫規劃，新產品將

Job Description Memahami tujuan bisnis dan mengembangkan model yang membantu mencapainya, bersama dengan metrik untuk melacak kemajuannya Menganalisis algoritma ML yang dapat digunakan untuk memecahkan masalah tertentu Menjelajahi dan memvisualisasikan data untuk mendapatkan pemahaman tentang data Mengidentifikasi perbedaan dalam distribusi data yang dapat mempengaruhi kinerja saat menerapkan model di dunia nyata Memverifikasi kualitas data, dan/atau memastikannya melalui pembersihan data Mengaw

術，建立完整的廣告、獲客、KYC、分眾、成效、再行銷的平台。 3. SmartWork 智慧助理，基於人工智能（AI）和機器學習（ML）技術打造企業內部 AI 助理，打造各式企業內部應用，提升企業內部溝通效率。 我們需要具備以下

加入 LSC 和我們一起打造電動載具產業的霸業！ 【Responsibilities】 • 透過 C / C++ 於 Linux 等平台優化轉譯基於 AI / ML / DL 演算法部署於邊緣運算之裝置 • 車聯網 GNSS, IMU 等資料之相關模型演算法之時間與空間效能

About the job KKLab is seeking a skilled Solution Architect who can understand customer needs, initiate business dialogues, and assist customers in integrating our primary offering Headquarter.ai (HQ), an Applied AI Orchestrator for Enterprises built on several cloud-based PaaS, enabling customers to utilize state-of-the-art AI/ML capabilities while retaining 100% ownership of their private data. In this role, you will be responsible for demonstrating and explaining to customers the distinct ben

The role requires the ability to evaluate and develop AI/ML technologies, especially in vision, acoustics and text domains. You will work on developing neural network models and data analytics to solve real-world problems. - Apply AI/ML technologies on problem formulation, model development, and deployment for use - Research and develop state-of-the-art AI/ML technologies - At least 5 years working experience in AI domain 這個工作需要評估