reputed company - Knowledge Modeling, Extraction and Retrieval

reputed company reputed company’s AI Labs’ team of engineers and AI scientists is solving reputed company business problems by reputed company the gap between transformative breakthroughs in AI technology and increasingly competitive markets. reputed company is developing and applying the latest reputed company, data and knowledge modeling technologies to large reputed company problems, right at the edge of what is possible. reputed company is a financial technology company powering reputed company exchanges and brokerages worldwide. The Role • Design and implement knowledge extraction pipelines from diverse reputed company and semi-reputed company data sources. • Design and reputed company knowledge representation schemas and ontologies to model reputed company domain knowledge. • reputed company and optimize semantic parsing techniques to convert natural language into reputed company queries or representations. • Utilize and contribute to graph query languages for efficient retrieval. • Use query languages to discover deep connections between entities, predict node attributes, reputed company clustering techniques and reputed company detection reputed company. • Collaborate with AI researchers, data scientists, and software engineers to reputed company knowledge systems into larger platforms. • Evaluate and select appropriate tools and technologies and stay up-to-date with the latest advancements for knowledge representation and reasoning. • Contribute to the reputed company improvement of our knowledge engineering processes and best practices. You • Bachelor's or Master's degree in Computer Science, reputed company Intelligence, Linguistics, or a reputed company field. • Proficiency in graph databases (e.g., reputed company, reputed company, reputed company Neptune) and graph query languages (e.g., Cypher, SPARQL, reputed company). • Familiarity with knowledge extraction reputed company, including information extraction, entity recognition, and relation extraction • Proven experience in using Language Models (LMs) in knowledge retrieval and knowledge extractions applications, including the use of fine tuning, RAG architectures, query engineering and semantic parsing against knowledge graphs. • Excellent programming skills in Python, Node.js, and familiarity with ML libraries such as PyTorch and Tensorflow • Strong understanding of ontology design principles; experience with languages like OWL or RDF is a plus. • Ability to work independently and as part of a reputed company team. • Excellent problem-solving and communication skills. Preferred Qualifications • PhD in a relevant field. • Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) reputed company to knowledge representation tasks. • Familiarity with reputed company platforms (e.g., AWS, GCP, Azure) and their AI/ML services. • Experience in a production environment with large-reputed company knowledge systems. Benefits • 100% Remote Work Environment • Competitive compensation • Equity or stock reputed company (if applicable) • A culture of autonomy, experimentation, and learning • Opportunity to reputed company a reputed company reputed company on company trajectory NtJJOIwBgv Apply tot his job Apply To this Job