Machine Learning Engineer III, Core Agents
Tasks
- Build evaluate evolve foundational AI agents
- Collaborate with platform engineers for secure reliable scalable agent deployment
- Define metrics evaluation pipelines and benchmarks for agent quality
- Develop intent detection query understanding ranking and RAG techniques
- Research and implement retrieval orchestration and evaluation best practices
- Translate enterprise use cases into agentic solutions with measurable improvements
Perks/Benefits
- N/A
Skills/Tech-stack
AWS Bedrock | Embeddings | Evaluation | Factuality Evaluation | Grounding | Indexing | Information Retrieval | Intent Classification | Java | Kubernetes | LLMs | Langchain | Langgraph | Language Processing | Latency optimization | Machine Learning | Natural Language | Natural Language Processing | Precision-recall | Python | Ranking Models | Retrieval systems | Retrieval-Augmented Generation | Safety evaluation | SageMaker | Scala | Semantic Search | Vertex AI
Education
Regions
Countries
States
Cities
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