4 Ontology Development Jobs

You are a highly skilled and motivated Senior Content Taxonomy Analyst who will be responsible for designing, developing, and maintaining ontologies and taxonomies that drive the content strategy and underpin the content management platform. Your role is crucial in ensuring that information is organized, accessible, and effectively utilized across the organization. As a Senior Content Taxonomy Analyst, you will collaborate with subject matter experts to gather requirements, define scope, and ensure the accuracy and completeness of knowledge models. You will apply semantic web standards and technologies such as RDF, OWL, and SKOS to build robust and scalable ontologies. You will develop and implement a comprehensive content taxonomy strategy that aligns with business goals and user needs. This includes defining content types, metadata schemas, and controlled vocabularies to support content creation, management, and retrieval. Establishing guidelines and best practices for content tagging and classification will also be part of your responsibilities. Working closely with the content management platform team, you will integrate ontologies and taxonomies into the platform's architecture and functionality. You will ensure that the platform effectively supports semantic search, faceted navigation, and other knowledge-driven features. Additionally, you will provide guidance and support to content authors and editors on the use of taxonomies and metadata. Your role will also involve contributing to the development of data governance policies and standards related to ontology and taxonomy management. You will ensure compliance with industry best practices and relevant standards while promoting the use of ontologies and taxonomies across the organization. Collaboration with cross-functional teams, including content creators, developers, data scientists, and business stakeholders, will be essential. You will need to communicate complex technical concepts clearly and effectively to both technical and non-technical audiences. Staying up-to-date on the latest trends and technologies in ontology and knowledge representation and participating in industry communities will also be part of your role. In addition to a Bachelor's degree in Computer Science, Information Science, Library Science, Linguistics, or a related field, a Master's degree is preferred. You should have 3+ years of experience in ontology development, taxonomy design, or knowledge representation. Strong understanding of semantic web technologies, experience with ontology editing tools, content management systems, and excellent analytical, problem-solving, and communication skills are necessary. Ability to work independently and collaboratively in a fast-paced environment is also required. If you have experience with machine learning, natural language processing techniques, knowledge graph technologies, data governance principles, ontology editing tools, or industry domains like Architecture, Engineering & Construction, Manufacturing, Media & Entertainment, Product Design & Development, it would be considered a plus. Join us at Autodesk, where amazing things are created every day with our software. Be your whole, authentic self and do meaningful work that helps build a better future for all. Shape the world and your future with us!,

As a Senior AI/ML Engineer specializing in Natural Language Processing (NLP) and Large Language Models (LLMs) at Snowfig in Delhi, India, you will be at the forefront of developing innovative AI-driven solutions for the legal tech industry. Snowfig is known for its commitment to revolutionizing the legal field by creating bespoke tech solutions that streamline processes and empower legal professionals. Join our team and be part of a mission to drive innovation and excellence in legal tech! Your main responsibilities will include leading the design, development, and deployment of NLP and LLM-based solutions customized for the legal sector. You will work on cutting-edge projects involving LLMs like Mixteral or LAMA to build intelligent, efficient, and scalable solutions. Additionally, you will design and integrate knowledge graphs to enhance the performance of LLMs, ensuring accurate and contextually relevant outputs. Furthermore, you will be responsible for developing robust data pipelines for preprocessing, cleaning, and managing large-scale legal datasets to ensure high-quality input for model training. You will apply advanced techniques for model training, fine-tuning, and optimization to ensure the robustness, efficiency, and scalability of AI models. Collaboration with cross-functional teams to understand requirements, propose solutions, and deliver high-quality products will be a key part of your role. Mentoring junior engineers, staying updated on the latest advancements in AI, NLP, and LLMs, and bringing new ideas to the table are also crucial aspects of this position. You should have over 5 years of hands-on experience in AI/ML, with a strong focus on NLP and LLMs, along with proficiency in Python and AI/ML frameworks such as TensorFlow, PyTorch, and Hugging Face Transformers. A deep understanding of NLP techniques, LLM architectures, knowledge graphs, cloud platforms like Azure or AWS, and data engineering principles is essential. If you are looking to make a significant impact in transforming the legal industry, work on groundbreaking projects, and advance your career in a collaborative and innovative environment, Snowfig offers the perfect opportunity. Join our dynamic team in Delhi and be a part of a vibrant and diverse work culture that values creativity, initiative, and professional growth.,

Department : Platform Engineering. Role Description : This is a remote contract role for a Data Engineer Ontology_5+yrs at Zorba AI. We are seeking a highly skilled Data Engineer with expertise in ontology development and knowledge graph implementation. This role will be pivotal in shaping our data infrastructure and ensuring the accurate representation and integration of complex data sets. You will leverage industry best practices, including the Basic Formal Ontology (BFO) and Common Core Ontologies (CCO), to design, develop, and maintain ontologies, semantic and syntactic data models, and knowledge graphs on the Databricks Data Intelligence Platform that drive data-driven decision-making and innovation within the company. Responsibilities : Ontology Development : - Design and implement ontologies based on BFO and CCO principles, ensuring alignment with business requirements and industry standards. - Collaborate with domain experts to capture and formalize domain knowledge into ontological structures. - Develop and maintain comprehensive ontologies to model various business entities, relationships, and processes. Data Modeling : - Design and implement semantic and syntactic data models that adhere to ontological principles. - Create data models that are scalable, flexible, and adaptable to changing business needs. - Integrate data models with existing data infrastructure and applications. Knowledge Graph Implementation : - Design and build knowledge graphs based on ontologies and data models. - Develop algorithms and tools for knowledge graph population, enrichment, and maintenance. - Utilize knowledge graphs to enable advanced analytics, search, and recommendation systems. Data Quality and Governance :. - Ensure the quality, accuracy, and consistency of ontologies, data models, and knowledge graphs. - Define and implement data governance processes and standards for ontology development and maintenance. Collaboration and Communication : - Work closely with data scientists, software engineers, and business stakeholders to understand their data requirements and provide tailored solutions. - Communicate complex technical concepts clearly and effectively to diverse audiences. Qualifications : Education : Bachelor's or master's degree in computer science, Data Science, or a related field. Experience : 5+ years of experience in data engineering or a related role. - Proven experience in ontology development using BFO and CCO or similar ontological frameworks. - Strong knowledge of semantic web technologies, including RDF, OWL, SPARQL, and SHACL. - Proficiency in Python, SQL, and other programming languages used for data engineering. - Experience with graph databases (e., TigerGraph, JanusGraph) and triple stores (e., GraphDB, Stardog) is a plus. Desired Skills : - Familiarity with machine learning and natural language processing techniques. - Experience with cloud-based data platforms (e., AWS, Azure, GCP). - Experience with Databricks technologies including Spark, Delta Lake, Iceberg, Unity Catalog, UniForm, and Photon. - Strong problem-solving and analytical skills. - Excellent communication and interpersonal skills.

Role Description : This is a remote contract role for a Data Engineer Ontology_5+yrs at Zorba AI. We are seeking a highly skilled Data Engineer with expertise in ontology development and knowledge graph implementation. This role will be pivotal in shaping our data infrastructure and ensuring the accurate representation and integration of complex data sets. You will leverage industry best practices, including the Basic Formal Ontology (BFO) and Common Core Ontologies (CCO), to design, develop, and maintain ontologies, semantic and syntactic data models, and knowledge graphs on the Databricks Data Intelligence Platform that drive data-driven decision-making and innovation within the company. Responsibilities : Ontology Development : - Design and implement ontologies based on BFO and CCO principles, ensuring alignment with business requirements and industry standards. - Collaborate with domain experts to capture and formalize domain knowledge into ontological structures. - Develop and maintain comprehensive ontologies to model various business entities, relationships, and processes. Data Modeling : - Design and implement semantic and syntactic data models that adhere to ontological principles. - Create data models that are scalable, flexible, and adaptable to changing business needs. - Integrate data models with existing data infrastructure and applications. Knowledge Graph Implementation : - Design and build knowledge graphs based on ontologies and data models. - Develop algorithms and tools for knowledge graph population, enrichment, and maintenance. - Utilize knowledge graphs to enable advanced analytics, search, and recommendation systems. Data Quality and Governance :. - Ensure the quality, accuracy, and consistency of ontologies, data models, and knowledge graphs. - Define and implement data governance processes and standards for ontology development and maintenance. Collaboration and Communication : - Work closely with data scientists, software engineers, and business stakeholders to understand their data requirements and provide tailored solutions. - Communicate complex technical concepts clearly and effectively to diverse audiences. Qualifications : Education : Bachelor's or master's degree in computer science, Data Science, or a related field. Experience : 5+ years of experience in data engineering or a related role. - Proven experience in ontology development using BFO and CCO or similar ontological frameworks. - Strong knowledge of semantic web technologies, including RDF, OWL, SPARQL, and SHACL. - Proficiency in Python, SQL, and other programming languages used for data engineering. - Experience with graph databases (e., TigerGraph, JanusGraph) and triple stores (e., GraphDB, Stardog) is a plus. Desired Skills : - Familiarity with machine learning and natural language processing techniques. - Experience with cloud-based data platforms (e., AWS, Azure, GCP). - Experience with Databricks technologies including Spark, Delta Lake, Iceberg, Unity Catalog, UniForm, and Photon. - Strong problem-solving and analytical skills. - Excellent communication and interpersonal skills.