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Tier-1 Bosch, Bangalore location and mid-level ML role increases qualified applicant density.
Highly specialized neuro-symbolic and knowledge-graph research focus limits cross-industry transferability.
Requires PhD/MS or strong MS, 3+ years, and specialized neuro-symbolic, KG and LLM skills.
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Lead research and development of Neuro-Symbolic AI systems integrating knowledge graphs with machine learning and deep learning methods.
Design and build multimodal data pipelines and knowledge-driven AI assistants with natural language interaction for explainability and robustness.
Collaborate internationally to transition research prototypes to scalable, production-ready AI solutions in product engineering and diagnostics.
Ph.D., M.S., or M.Tech in Computer Science or related field from top Indian or foreign institutes (e.g., IITs, IIITs, IISc).
Minimum 3 years of relevant professional or applied research experience in Neuro-Symbolic AI.
Strong expertise in Neuro-Symbolic AI architectures combining machine learning and symbolic reasoning (preferably knowledge graphs).
Experience with NLP frameworks (Hugging Face Transformers, spaCy, NLTK), knowledge extraction (NER, Relation Extraction), graph libraries (RDFlib, KGLab, PyTorch Geometric), and multimodal data engineering.
Experienced researcher/engineer skilled in designing hybrid AI systems that advance explainability and robustness through symbolic and neural integration.
Proficient in semantic technologies, ontology modelling, reasoning techniques, and large-scale AI system deployment.
Capable of rigorous experimental design, evaluation, and translating research outcomes into business-relevant AI applications with international collaboration.