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- We are looking for experienced Machine Learning/Deep Learning engineers. - This is a technical role, and it requires a high willingness to learn state-of-the-art AI techniques and a skill to apply AI techniques to business applications/processes. - Participate in the engineering life-cycle, including writing production code, conducting code reviews and deploy machine learning solutions into production. - You’re not just looking for a job, you’re looking for an innovative

立並維運Data Pipeline(streaming & batch)： 資料是公司的血液，我們就是建立並維護血管通暢的人。 您需要與資料分析師/科學家密切合作，根據需求來建立Data Pipeline，並確保管線正常運行。 ✅ 監控並維護資料品質： 資料界有

【Responsibilities】 1. Create and maintain optimal data pipeline architecture, assemble large and complex datasets to meet functional/nonfunctional business requirements. 2. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, redesigning infrastructure for greater scalability, etc. 3. Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry l

▸ Participate in the entire development lifecycle of the MLOps platform ▸ Collaborate with Front-end developers to integrate user-facing elements with server side logic ▸ Collaborate with data engineers and data scientists to assist in the practical implementation of complex domain knowledgecould accelerate the ML dev cycle (MLOPs). ▸ Ability to adapt flexibly to various unforeseen and unfamiliar challenges ▸ Build reusable code and libraries for future use

is developing the next-generation technologies that change how high-tech manufacturing works. We're looking for engineers and data scientists who are passionate about bringing new ideas from diverse areas and love working with complex data, finding insights, and presenting findings to peers, management, and internal customers.As a key member of a small and versatile team, you will design and implement machine learning algorithms that support TSMC R&D/Fab/Business/IT/

Here at iKala, we are developing new algorithm and data pipeline which powers business decision in marketing and in-house analytic platform. You will cowork with teams of working in Machine Learning, Data Acquisition, Data Scientist and Data Analysis to develop or optimize algorithm on large scale multi-modal data. 【What you will be doing】 1. Develop in house multilingual NLP models ( Chinese, English, Japanese ) 2. Tuning and optimize algorithm to handle large scale data ( > 10

reading platform for academic papers ⛑️ Senior Position: Senior Full Stack Software Engineer, Full-time, TWD$1.55-2.85M annually 🏖️ Flexible Work: Remote position offering flexible work schedule 🥊 Competitive Team: Founding team of ex-Meta/FB engineers from Silicon Valley 🔬 The Team At refl AI, we work to use AI to accelerate science. We are an ultra-compact product team made of engineers, a designer, a product manager, and a data scientist

▸ Developing new features and enhancing existing features for Computer Vision AI services. ▸ Collaborating with backend developers, data scientists, quality assurance, and project managers to develop elegant solutions. ▸ Refactoring legacy codebase, fixing bugs, and optimizing performance continuously. ▸ Writing readable, re-usable code and conducting peer review to ensure quality. ▸ Contributing ideas for UI/UX and product design.

專業需求： MVC概念是必須的，熟C/C++，Python，Java及了解GPT。 具備開發語意相關演算法及深度學習模型訓練經驗尤佳。 對人工智慧有無盡的學習慾請放馬過來。

Unpaid- Intern (Taiwan local) Avalanche Computing, a deep learning data scientist / engineer, delivers amazing quality models and algorithms by combining state-of-the-art computer vision, image processing, time series analysis, and deep learning for demo the concept. As a data scientist/deep learning intern on our team, you'll help to develop and extend these algorithms, working with the customers who made vertical AI in medical, manufacturing, construction, and so on. And make the AI