Research Engineer – Neuro-Symbolic AI (Knowledge Graphs) & Multimodal Assistant Systems
Tasks
- Build multimodal data pipelines
- Collaborate with cross-disciplinary teams
- Conduct neuro symbolic AI research
- Create ontologies and knowledge graphs
- Develop knowledge driven AI assistants
- Integrate LLMs with neuro symbolic reasoning
- Integrate knowledge graphs with machine learning
- Prototype and evaluate research concepts
- Publish research and file patents
- Run experiments and benchmarks
- Transfer research to production
Perks/Benefits
- N/A
Skills/Tech-stack
D3.js | Deep learning | Entity recognition | Gensim | Gephi | Graph Embeddings | Graph Neural Networks | Hugging Face | Hugging Face Transformers | Knowledge graphs | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | NLTK | Named Entity Recognition | Natural Language | Natural Language Processing | Neo4j | Neural Networks | Neuro-Symbolic | Neuro-symbolic AI | Node2vec | OWL | PyTorch Geometric | RDF | RDFS | Rdflib | Relation extraction | Retrieval-Augmented Generation | SPARQL | Shacl | Spacy | Stardog | Symbolic AI
Education
Roles
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