Experience
Sea Sentinel AI
Upstream and downstream data pipelines with model benchmarking for classification, AWS automations on DynamoDB and AI services, and end-to-end onboarding of external data providers.
Working across upstream and downstream data pipelines at Sea Sentinel AI in Munich (hybrid), tuning performance and integrating AI through experimentation and benchmarking of classification models. Also building automations with AWS DynamoDB and AI services, and taking new data providers from cost assessment through experimentation to production deployment, with Sentry and Langfuse for observability.
Develop and optimise upstream and downstream data pipelines, polishing performance and integrating AI through experimentation and benchmarking of models for classification.
Implement automations on AWS using DynamoDB and AI services.
Assess and integrate external data providers into our pipelines end to end, from cost evaluation and experimentation through to deployment.
Monitor pipelines and AI integrations with Sentry for error tracking and Langfuse for LLM tracing and evaluation.
Munich
Hybrid · Germany
AWS
DynamoDB and AI service automations
E2E
Data provider onboarding, cost to deploy