Software Engineer - Data Platform
Tasks
- Build and own RAG pipelines
- Build and own vector search systems
- Build data frameworks across on prem and cloud
- Collaborate with operations research and data science teams
- Conceptualize data architecture for large scale projects
- Coordinate and deploy data pipelines
- Deploy and monitor ML models in production
- Design manage MLOps infrastructure
- Develop manage data warehouse
- Improve logging and triage machine data issues
- Scope architect implement deploy AI and data infrastructure applications
- Solve machine data and AI integration problems
Perks/Benefits
- 401k
- Dental insurance
- Flexible vacation policy
- Life insurance
- Medical insurance
- Relocation support
- Vision insurance
Skills/Tech-stack
Amazon Aurora | Amazon SageMaker | Argo Workflows | Avro | Chroma | Cloud | Dagster | Data Architecture | Data Pipelines | Data Warehousing | ETL | Embeddings | GRPC | GitOps | Go | Helm | Kafka | Kubernetes | MLflow | NoSQL | On-prem | Pinecone | Python | RAG | RDS | Ray | Retrieval architectures | S3 | SQL | Semantic Search | Superset | Terraform | Vector Databases | Vector Search | Weaviate
Education
Roles
Regions
Countries
States
Cities
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