Research Engineer – Neuro-Symbolic AI (Knowledge Graphs) & Multimodal Assistant Systems interview practice at Bosch Global Software Technologies
40 questions · 40 minutes · ₹25
What it covers
- Neuro-Symbolic AI Architectures and Frameworks
- Advanced Data Engineering for Multi-Modal Integration
- NLP concepts and frameworks (Hugging Face Transformers, spaCy, NLTK, Gensim)
- Extracting structured knowledge from unstructured text using NLP techniques (NER
- Graph libraries (RDFlib, KGLab, PyTorch Geometric)
- Graph analytics and visualization tools (Gephi, D3.js)
- Collaborative work in cross-functional and international teams
- Knowledge representation and reasoning techniques (ontology design, schema align
- Neuro-Symbolic AI & Hybrid Reasoning (causal reasoning, planning, explainable de
- Enterprise knowledge graph and semantic web technologies (Neo4J, Stardog, STEADY
- Research Engineer – Neuro-Symbolic AI (Knowledge Graphs) & M fundamentals
- Projects on your CV