engineering teams to own the end-to-end developer experience-from the source control and language ecosystems that underpin... into a comprehensive product vision Fluent across functions-you're equally credible discussing build graph optimization with engineers...
Job Summary At Red Hat we believe the future of AI is open and we are on a mission to bring the power of open-source.... If you are someone who wants to contribute to solving challenging technical problems at the forefront of deep learning in the open source way...
on-site. Strong project-based experience with NoSQL, Graph (RDF triple-stores) or relational databases. Strong project-based..., JUnit, PyTest, etc. Experience using modern source code management and CI/CD tools such as GitHub, GitLab, GitLab...
source of truth, enabling teams across the company to develop analytics and dashboards. Working closely with cross-functional... Services (KIDS) team owns DataHive, a centralized data and analytics infrastructure that serves as the single source of truth...
) that aligns with structured knowledge formats favored by LLMs, such as Q&A formatting, schema markup, and authoritative source... for B2B companies (ideally SaaS or technology). Strong understanding of entity-based search tactics, Knowledge Graph...
our source control platforms, enabling development of new products. Our mission is to accelerate engineering velocity... organization. Strong instincts for dependency management: you can build a dependency graph, read it for risk, and drive...
today Build and maintain production ETL/ELT pipelines using AWS Glue, Airflow, Spark, and Python to source data from operational... / data stores (object storage, document or key-value stores, graph databases, column-family databases) - Experience...
, Docker Experience using a source code repository such as Git, BitBucket, Mercurial, or Subversion Experience using... to a wide range of intellectual and practical problems. Experience using and deploying RDMS, NoSQL, or Graph databases...
. Strong data and context instincts: SQL, unstructured data, vector search, metadata, provenance, freshness, source authority..., or other domains where software decisions affect real business operations. Experience with graph-based data models, knowledge graphs...
such as Bayesian inference, uncertainty quantification, information theory, causal inferencing, graph neural networks..., etc. Proficiency with open-source agentic frameworks (e.g., LangGraph, DSPy, mem0, etc.) and deep learning frameworks (e.g., PyTorch...