AI Engineer
【Qualifications】 1.Proficient in Python programming, with practical experience in generative AI (GAI). 2.Familiar with large language models (e.g., OpenAI GPT, BERT) and speech-to-text technologies (e.g., Whisper, Google Speech-to-Text). 3.Proficient in deep learning frameworks and tools, such as PyTorch, Transformers, and Hugging Face. 4.Experienced with GAI frameworks or tools, such as Azure OpenAI Service (AOAI), Llama, LangChain, RAG, and Ollama. 5.Familiar with Python frameworks like FastAPI, Celery, and Django. 6.Experienced with containerization technologies such as Docker. 7.Prior experience in fine-tuning generative AI models is highly desirable. 8.Strong problem-solving skills and logical thinking, with the ability to independently complete project development and effectively collaborate with teams. 9.A proactive learning attitude and a passion for pursuing technological innovation. 【Position Overview】 We are seeking an enthusiastic AI Engineer with experience in Python development and generative AI (GAI) applications. This position requires proficiency in large language models (LLM) and speech-to-text (STT) technologies, with the ability to design and implement intelligent solutions based on business requirements. If you are passionate about AI system development and innovation, we welcome you to join our team and drive advancements in the AI field! 【Responsibilities】 1.Develop and maintain AI applications based on large language models (LLM) and speech-to-text (STT) technologies to deliver innovative solutions. 2.Continuously track and adopt the latest AI technologies and tools, integrating them into system design and development. 3.Analyze and process structured and unstructured data to support model training and optimization. 4.Collaborate with cross-functional teams to translate business needs into technical solutions. 5.Write technical documentation and take charge of AI model deployment, testing, and performance monitoring.公司地址:
台北市內湖區行愛路128號其他:
【Preferred Qualifications】 1.Familiarity with front-end development technologies such as JavaScript, HTML5, and CSS. 2.Experience in data visualization with the ability to present analysis results clearly. 3.Familiarity with DevOps workflows and experience in AI model deployment. -2025-01-14