Consultant Machine Learning & Knowledge Graph Engineer
Round Rock, TX, United States
USD 196K-254K (estimate) Senior-level Full Time
Tasks
- Apply semantic reasoning
- Architect graph backed RAG systems
- Architect knowledge graph platforms
- Automate model retraining
- Build inference services
- Build prompt to graph query pipelines
- Define enterprise ontologies
- Design graph native data models
- Detect model drift
- Develop production-grade ML services
- Develop tool calling interfaces
- Drive MLOps standards
- Enable relationship discovery
- Govern OWL 2 taxonomies and semantic schemas
- Implement CI/CD
- Implement Entity Resolution
- Integrate AI/ML technologies
- Lead ML architecture and deployment
- Manage production incidents
- Monitor models
- Prototype and deliver autonomous AI agents
Perks/Benefits
- N/A
Skills/Tech-stack
APOC | Agentic AI | Apache Airflow | Apache Iceberg | AuraDB | Automated retraining | CI/CD | Causal Clustering | Cypher | Data Lakehouse | Deep learning | Delta Lake | Deterministic Explainable Outputs | Docker | Drift Detection | ETL | Entity Resolution | GenAI | Hybrid search | Information Retrieval | Kafka | Knowledge graph | Kubernetes | Language Models | Large Language Models | MLOps | Machine Learning | Model Drift | Model Drift Detection | Model Monitoring | Neo4j | Neo4j GDS | OWL 2 | Ontology Engineering | PySpark | Python | RAG | Retrieval-Augmented Generation | SPARQL | Semantic Reasoning | Semantic Search | Shacl | Stardog | Virtual Graphs
Education
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