【RD】資深AI工程師 Senior AI Engineer (台南)
薪資範圍:NT$ 700,000 - 980,000 (年薪)
Requirements Proficient in Data Warehousing, Data Preprocessing Concepts, Data Cleaning, Data Preparation, Tokenization, and Related Data. Skilled in tokenization and transforming raw data into structured formats suitable for machine learning models. Proficient in Python (including numpy, scipy, pandas) and OpenAI. Experience with SQL and Database Design (e.g., SQL/NoSQL/Vector DB). Understanding of database design principles, including both SQL and NoSQL databases. Familiarity with vector databases and their application in AI and machine learning contexts. Experience with OpenAI, Langchain, and RAG Architecture: Hands-on experience with OpenAI technologies and integrating them into machine learning workflows. Knowledge of Langchain and RAG (Retrieval-Augmented Generation) architecture, and their implementation in practical projects. Demonstrated ability to analyze large datasets, using statistical and machine learning techniques to derive insights. Strong Team Collaboration and Self-Learning Abilities: Proven ability to work effectively in a team environment, collaborating with colleagues to achieve common goals. Self-motivated with a strong desire to continuously learn and stay updated with the latest industry trends and technologies. - Job Description We are seeking a skilled and motivated individual to join our team as a Data Engineer. The successful candidate will assist in research, support model training, and optimize machine learning solutions. The role requires organizing relevant data, analyzing test results, and fine-tuning models. Additionally, the candidate will be responsible for analyzing and interpreting large datasets to support our B2B AI large language model (LLM) Verification solution. OneDegree Tech Blog: https://medium.com/onedegree-tech-blog - How to apply Please apply this position through 👉 https://grnh.se/3d78328e4us It will help us process your applications faster *Please apply by English CV, thank you. - Responsibilities Proficient in Data Warehousing, Data Preprocessing Concepts, Data Cleaning, Data Preparation, Tokenization, and Related Data. Skilled in tokenization and transforming raw data into structured formats suitable for machine learning models. Proficient in Python (including numpy, scipy, pandas) and OpenAI. Experience with SQL and Database Design (e.g., SQL/NoSQL/Vector DB). Understanding of database design principles, including both SQL and NoSQL databases. Familiarity with vector databases and their application in AI and machine learning contexts. Experience with OpenAI, Langchain, and RAG Architecture: Hands-on experience with OpenAI technologies and integrating them into machine learning workflows. Knowledge of Langchain and RAG (Retrieval-Augmented Generation) architecture, and their implementation in practical projects. Demonstrated ability to analyze large datasets, using statistical and machine learning techniques to derive insights. Strong Team Collaboration and Self-Learning Abilities: Proven ability to work effectively in a team environment, collaborating with colleagues to achieve common goals. Self-motivated with a strong desire to continuously learn and stay updated with the latest industry trends and technologies. -公司地址:
台北市信義區信義路四段460號7樓其他:
Familiarity with Machine Learning Frameworks (e.g., Keras, TensorFlow, PyTorch) is a Plus: Experience using popular machine learning frameworks such as Keras, TensorFlow, or PyTorch. Familiarity with NLU/NLG/NLP Architectures (e.g., BERT, Transformers) is a Plus: Knowledge of Natural Language Understanding (NLU), Natural Language Generation (NLG), and Natural Language Processing (NLP) architectures. Understanding of Java programming language and its application in data engineering and machine learning projects. -2024-09-17