Staff Machine Learning Engineer, AI Applications, Tallinn
Tasks
- Analyze production failures and failure cases
- Build knowledge mining capabilities
- Contribute to tool use quality routing behavior memory quality multi step task performance
- Define quality and learning strategy
- Develop feedback loops for continuous improvement
- Lead AI system behaviour alignment
- Own LLM evaluation strategy
- Partner on AI application infrastructure
Perks/Benefits
Skills/Tech-stack
AI orchestration | Agentic AI | Data Analysis | Evaluation | Experimentation | Feedback loops | Golden datasets | Human AI Orchestration | Human annotation | Information Retrieval | Knowledge Base | Language Models | Large Language Models | Machine Learning | Memory systems | Model behavior | Multi-step reasoning | Offline benchmarks | Online Experimentation | Prompt engineering | Ranking | Retrieval Quality | Retrieval-Augmented Generation | Routing | Search | Tool use
Education
N/A
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