Expected Role
The Machine Learning Engineer will develop models in machine learning and data science, and build, maintain, and operate the infrastructure to continuously deliver these models to the service. The successful candidate will be expected to develop highly accurate modeling techniques that can leverage CADDi's data and provide value to our products, as well as develop stable systems in a team environment.
Responsibility:
Examples of what success looks like in this role:
Interest and experience gained from this position:
Experience in challenging highly difficult technical issues with highly enthusiastic members.
Experience working with members with expertise in a wide range of areas, including software as well as machine learning.
Experience in solving problems by taking into account how to develop the value of technology as a business.
The position is close to MLOps and product management members, so you will be able to expand your work depending on your will.
MUST-HAVE REQUIREMENTS
NICE-TO-HAVE REQUIREMENTS
PRODUCT DEVELOPING ENVIRONMENT
Languages:
Framework/ Library
Infrastructure: Google Cloud, Google Kubernetes Engine, Anthos Service Mesh
Database/Data Warehouse: CloudSQL (PostgreSQL), AlloyDB, Firestore, BigQuery
APIs: GraphQL, REST, gRPC
Monitoring: Datadog, Sentry, Cloud Monitoring
Environment construction: Terraform
CI/CD: Github Actions
Authentication: Auth0
Development tools: GitHub, GitHub Copilot, Figma, Storybook
Communication tools: Slack, Discord, JIRA, Miro, Confluence
APPLICATION GUIDELINES & BENEFITS
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