(CNN, RNN, LSTM, attention models), machine learning methodologies (SVM, GLM, boosting, random forest), graph models..., or reinforcement learning. Experience with open-source tools for deep learning and machine learning technology such as pytorch, Keras...
, etc.), graph models, and/or, reinforcement learning Experience with open-source tools for deep learning and machine learning...
. Demonstrated experience supporting ontology development, knowledge graph integration, or supporting DoD geospatial and all source... project deliverables in the DoD ontology are required, including ontology development, knowledge graph integration...
Recognized technical leader with deep hands-on experience with relational, vector, NoSQL, or graph databases (Oracle, Postgres... (containers, serverless, DevOps) and modern AI architectures Contributions to open source projects that advance developer...
Applied Researcher I (Multi-agent Systems, Knowledge Graphs/GraphRAG/Graph-of-Thought / GoT, MCP, LangGraph, Agent...-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models...
, etc.), graph models, and/or, reinforcement learning Experience with open-source tools for deep learning and machine learning...
Laws for Graph-based data: investigating how Reddit's tree-structured conversations impact model convergence compared... across Infrastructure and Data teams. Nice to Have: Published research or open-source contributions in Continual Learning, Curriculum...
's most successful revenue teams. Powered by the Gong Revenue Graph, AI-powered intelligence, specialized agents, and trusted applications, Gong... programs that drive MQLs, source pipeline, and accelerate opportunities. You'll lead campaign development and execution, demand...
and Storage Strategy: Define storage architectures using NoSQL (MongoDB, DynamoDB) and graph databases (Neo4j). Optimize database... tools such as Ansys ModelCenter, or open-source alternatives. Develop frameworks for orchestrating analytical flows...
(CNN, RNN, LSTM, attention models), machine learning methodologies (SVM, GLM, boosting, random forest), graph models..., or reinforcement learning. Experience with open-source tools for deep learning and machine learning technology such as pytorch, Keras...