MLOps Engineer
株式会社LayerX
- AWS
- GCP
- Machine Learning
- Docker
- Terraform
- TypeScript
- MySQL
- React
- MLOps
- SaaS
- Datadog
- Node.js
- Redis
- DynamoDB
- Notion
- Middleware
- Data Infrastructure
- FinTech
- Vue
- Frontend
- Backend
- Product quality assurance
- OpenSearch
- Autify
- Data Processing Tool
- Backend management
- Programming Tool
- DE&I Policy
-
101 to 1,000
Company Info
LayerX is a business that applies AI and LLM related technology to the utilization of knowledge and activity optimization within the organization. We aim to automate the creation of large-scale documents using AI and LLM technology and to change the way people work. We are also looking for intermediaries to walk from the improvement of LLM technology to the introduction of product development.Job Summary
As an MLOps engineer, you will be involved in improving operations related to machine learning and the construction of data infrastructure, as well as the effective verification of model effects, development of OCR components, and extensive work in natural language processing and other areas. In addition, we are seeking experience in technology selection, architecture design, and project promotion to advance projects.Duties
To deliver highly effective and innovative products in the SaaS+Fintech field, you will be responsible for the following tasks. You will be involved in the development and operation of functions to improve functionality, continuous model improvement, data infrastructure construction, and data shaping, as well as the development of large-scale systems, the development of functions to support machine learning, and the development of decision-making systems. In addition, we are seeking experience in technology selection, architecture design, and the design of backend APIs, as well as database design, large-scale system infrastructure design, operation, and project experience. Furthermore, we are seeking individuals who can listen to the voice of customers, provide value in the team, and actively acquire technology and knowledge, as well as individuals who can listen to the voice of customers, provide value in the team, and actively acquire technology and knowledge.Login to see all information about offers.
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