機械学習エンジニア（Machine Learning Engineer）
Tasks
- Balance model performance latency and cost trade offs
- Build embeddings and vector search systems
- Conduct hands on analysis and proof of concept
- Define project success metrics and outcomes with product teams
- Design and implement ML-driven systems
- Document and share knowledge and decisions
- Enhance search results using Elasticsearch
- Implement retrieval with candidate generation
- Improve recommendation and search functionality
- Translate requirements into ML tasks
Perks/Benefits
- Adopt latest technologies
- English learning support
- Service oriented team
- Social impact through product development
Skills/Tech-stack
A/B | A/B Testing | AWS | Amazon Aurora | Amazon Aurora MySQL | Aurora MySQL | B testing | BigQuery | Confluence | DBT | Dagster | Dataflow | DynamoDB | Elasticsearch | Embeddings | Fluent-bit | Fluentd | GitHub | Go | Google Workspace | Image Processing | Jira | Kubernetes | Langfuse | Language Processing | Natural Language | Natural Language Processing | PubSub | Python | Redis | Retrieval | SQL | Slack | Superset | Tableau | Terraform | Vector Search | Vertex AI
Education
N/A
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