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Tier-1 brand, Bangalore metro location, and mid-level 3-year requirement create high competition despite niche specialization.
Highly specialized neuro-symbolic and knowledge-graph expertise required, limiting cross-industry transferability.
Requires advanced degrees, 3+ years research experience, and specific neuro-symbolic and KG tool expertise.
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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 develop multimodal data pipelines and knowledge-driven AI assistants with natural language interaction, focusing on explainability and trustworthiness.
Collaborate with cross-disciplinary international teams to translate research into scalable, production-ready AI solutions, contributing to publications and intellectual property.
Ph.D., M.S., or M. Tech in Computer Science or related field from top-tier Indian or foreign institutes (e.g., IITs, IIITs, IISc).
At least 3 years of relevant professional or applied research experience.
Expertise in Neuro-Symbolic AI architectures integrating machine learning and symbolic reasoning, particularly with knowledge graphs.
Proficiency in multimodal data engineering, NLP frameworks (e.g., Hugging Face Transformers, spaCy), knowledge extraction techniques, and graph libraries (e.g., RDFlib, PyTorch Geometric).
Experienced in designing and implementing hybrid AI systems combining symbolic and neural approaches with strong emphasis on explainability and domain adaptability.
Skilled in building and evolving semantic assets (ontologies, knowledge graphs) and integrating AI with large language models and multimodal models.
Capable of rigorous research methodology including experiment design, evaluation, and scientific reproducibility, and effectively working in international, cross-functional research environments.