AI Engineer - Knowledge Modeling, Extraction and Retrieval

Job Description

<h3>Job Description</h3><p>Job Description<p><br /><strong>About Us</strong><br />AlphaPoint’s AI Labs’ team of engineers and AI scientists is solving complex business problems by bridging the gap between transformative breakthroughs in AI technology and increasingly competitive markets.<br />Our team is developing and applying the latest generative AI, data and knowledge modeling technologies to large scale problems, right at the edge of what is possible.<br><br>AlphaPoint is a financial technology company powering digital asset exchanges and brokerages worldwide.<br><br><strong>The Role</strong><ul><li>Design and implement knowledge extraction pipelines from diverse unstructured and semi-structured data sources.</li><li>Design and develop knowledge representation schemas and ontologies to model complex domain knowledge.</li><li>Develop and optimize semantic parsing techniques to convert natural language into structured queries or representations.</li><li>Utilize and contribute to graph query languages for efficient retrieval.</li><li>Use query languages to discover deep connections between entities, predict node attributes, perform clustering techniques and anomaly detection methods.</li><li>Collaborate with AI researchers, data scientists, and software engineers to integrate knowledge systems into larger platforms.</li><li>Evaluate and select appropriate tools and technologies and stay up-to-date with the latest advancements for knowledge representation and reasoning.</li><li>Contribute to the continuous improvement of our knowledge engineering processes and best practices.</li></ul><strong>You</strong><ul><li>Bachelor&#39;s or Master&#39;s degree in Computer Science, Artificial Intelligence, Linguistics, or a related field.</li><li>Proficiency in graph databases (e.g., Neo4j, ArangoDB, Amazon Neptune) and graph query languages (e.g., Cypher, SPARQL, Gremlin).</li><li>Familiarity with knowledge extraction methods, including information extraction, entity recognition, and relation extraction</li><li>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. </li><li>Excellent  programming skills in Python, Node.js, and familiarity with ML libraries such as PyTorch and Tensorflow</li><li>Strong understanding of ontology design principles; experience with languages like OWL or RDF is a plus.</li><li>Ability to work independently and as part of a collaborative team.</li><li>Excellent problem-solving and communication skills.</li></ul><strong>Preferred Qualifications</strong><ul><li>PhD in a relevant field.</li><li>Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) applied to knowledge representation tasks.</li><li>Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and their AI/ML services.</li><li>Experience in a production environment with large-scale knowledge systems.</li></ul><strong>Benefits</strong><ul><li><b><i>100% Remote Work Environment</i></b></li><li><b><i>Competitive compensation</i></b></li><li><b><i>Equity or stock options (if applicable)</i></b></li><li><b><i>A culture of autonomy, experimentation, and learning</i></b></li><li><b><i>Opportunity to make a real impact on company trajectory</i></b></li></ul><br /> <p>Powered by JazzHR</p><p>kc1jeGzZyF</p></p></p>