Staff Engineer, Innovation
USD 175K-250K (estimate) Senior-level Full Time
Tasks
- Architect data pipelines ingestion transformation serving
- Build data pipelines
- Build end-to-end proof of concepts
- Build serving infrastructure
- Define feature stores monitoring rollout strategies
- Define model serving patterns
- Design AI platform layer
- Design serverless and event driven systems
- Ensure production constraints for models
- Evaluate and integrate AI ML tooling
- Integrate ML models to products
- Own model reliability performance scalability
- Productionize AI and machine learning models
Perks/Benefits
- N/A
Skills/Tech-stack
AWS Batch | AWS Bedrock | AWS Lambda | Agent Frameworks | Amazon S3 | Amazon SageMaker | Apache Kafka | Artificial Intelligence | Data Ingestion | Data Pipelines | Data Transformation | Data serving | Event Driven | Event-driven architecture | Feature Store | Java | LLM integration | Machine Learning | Model Serving | Monitoring | Orchestration frameworks | Prompt engineering | REST APIs | Retrieval-Augmented Generation | Serverless | Snowflake | Spring Boot | Vector Database
Education
N/A
Roles
AI | AI Platform Engineer | Engineer | Platform Engineer | Staff Engineer
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