AI Engineer
株式会社ワントゥーテン
- Python
- AWS
- GCP
- Azure
- Docker
- GitHub
- PyTorch
- natural language processing
- TensorFlow
- Slack
- System development
- chatGPT
- FastAPI
- GoogleWorkspace
- Flask
- LangChain
- backlog
- Transformer
- Programming skills
- AI application development
- openai api
- Gemini
- system improvement
- Llama
- AI development experience
- automatic data acquisition
- system operation and maintenance experience
- AI recommendation system development experience
- AI chatbot development experience
- G search and E qualification
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¥5,500,000 - 8,000,000
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Kyoto
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101 to 1,000
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Company Homepage
Company Info
Wanted is a company that has grown as a leading company in the field of web promotion and advertising, leveraging the power of creativity and technology. In recent years, we have been working on the development of new services that utilize XR and AI technology, as well as the development of experimental content and digital twins, and we are solving issues that companies and society face.Job Summary
As an AI engineer, you will be involved in the development of the SaaS product 'QURIOS AGENT'. You will develop a product that contributes to solving issues such as the utilization of living AI, the burden of human resources, and the automation of simple tasks, and you will be involved in the development of the core functions of the product. It is required to actively engage in programming and data acquisition for the development of AI applications, as well as to have the necessary programming skills for processing.Duties
As an AI engineer, you will be involved in the development of the SaaS product 'QURIOS AGENT'. Specifically, you will develop the development of an independent AI system that utilizes living AI, natural language processing, and data sets, and you will be involved in the development of the core functions of the product. In addition, in the field of data utilization, you will be responsible for automating work, such as the automation of data acquisition and learning, and improving product quality. In the development environment, Python will be used, and various technologies such as PyTorch, TensorFlow, LangChain, Flask, FastAPI, and various infrastructures such as GCP, Azure, and AWS will be utilized.Login to see all information about offers.
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