Machine Learning Engineer, Platform
Tasks
- Build backend services and data pipelines
- Build evaluation frameworks and datasets
- Build retrieval systems
- Collaborate with product and infrastructure teams
- Create RAG pipelines
- Deliver experiments and new capabilities
- Design knowledge representation systems
- Develop context retrieval systems
- Implement embeddings chunking indexing retrieval reranking
- Measure retrieval quality and relevance
- Own ML components end-to-end
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | Artificial Intelligence | Backend Services | Data Pipelines | Embeddings | Evaluation | Information Retrieval | Knowledge graphs | Machine Learning | Ontologies | Python | RAG | Retrieval-Augmented Generation | Semantic Search | Semantic similarity | Vector Databases | Vector indexing
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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