Sr. ML Engineer
Tasks
- Architect and scale document processing pipelines
- Build search and retrieval systems
- Design and build multi agent system
- Develop evaluation and experimentation frameworks
- Drive end-to-end ML projects
- Evolve AI platform components
- Ingest parse chunk index documents
- Model knowledge graph entities and relationships
- Write production-grade, maintainable code
Perks/Benefits
- Dental insurance
- Hybrid work option
- In-person retreats
- Learning stipend
- Meal benefits
- Medical plans
- Remote work option
- Unlimited paid time off
- Vision insurance
Skills/Tech-stack
Agent systems | Data extraction | Document processing | Entity Relationship Modeling | Entity relationship | Experimentation | Go | Information Retrieval | Knowledge graphs | Kubernetes | LLM orchestration | Language Models | Language Processing | Large Language Models | Machine Learning | Multi-Agent | Multi-Agent Systems | Natural Language | Natural Language Processing | Python | Ranking | Relationship Modeling | Search | Vector indexing
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
Regions
Countries
States
Cities
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