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Contract Knowledge Graph Software Engineer Jobs in Arkansas

AI Engineer

Little Rock, AR · On-site

$109K - $131K/yr

Contract to hire (6 months) Responsibilities: * Research and prototype AI/ML models in areas such ... Graph Database Knowledge, API Usage, Database Querying, Software Development, Applied Mathematical ...

Build comprehensive testing: unit, integration, contract tests for tool schemas, and end-to-end ... Working knowledge of OAuth2/OIDC authentication and scope/permission models. * Familiarity with ...

Build comprehensive testing: unit, integration, contract tests for tool schemas, and end-to-end ... Working knowledge of OAuth2/OIDC authentication and scope/permission models. * Familiarity with ...

Build comprehensive testing: unit, integration, contract tests for tool schemas, and end-to-end ... Working knowledge of OAuth2/OIDC authentication and scope/permission models. * Familiarity with ...

Build comprehensive testing: unit, integration, contract tests for tool schemas, and end-to-end ... Working knowledge of OAuth2/OIDC authentication and scope/permission models. * Familiarity with ...

Build comprehensive testing: unit, integration, contract tests for tool schemas, and end-to-end ... Working knowledge of OAuth2/OIDC authentication and scope/permission models. * Familiarity with ...

Build comprehensive testing: unit, integration, contract tests for tool schemas, and end-to-end ... Working knowledge of OAuth2/OIDC authentication and scope/permission models. * Familiarity with ...

Build comprehensive testing: unit, integration, contract tests for tool schemas, and end-to-end ... Working knowledge of OAuth2/OIDC authentication and scope/permission models. * Familiarity with ...

Build comprehensive testing: unit, integration, contract tests for tool schemas, and end-to-end ... Working knowledge of OAuth2/OIDC authentication and scope/permission models. * Familiarity with ...

Build comprehensive testing: unit, integration, contract tests for tool schemas, and end-to-end ... Working knowledge of OAuth2/OIDC authentication and scope/permission models. * Familiarity with ...

Build comprehensive testing: unit, integration, contract tests for tool schemas, and end-to-end ... Working knowledge of OAuth2/OIDC authentication and scope/permission models. * Familiarity with ...

Build comprehensive testing: unit, integration, contract tests for tool schemas, and end-to-end ... Working knowledge of OAuth2/OIDC authentication and scope/permission models. * Familiarity with ...

Build comprehensive testing: unit, integration, contract tests for tool schemas, and end-to-end ... Working knowledge of OAuth2/OIDC authentication and scope/permission models. * Familiarity with ...

Build comprehensive testing: unit, integration, contract tests for tool schemas, and end-to-end ... Working knowledge of OAuth2/OIDC authentication and scope/permission models. * Familiarity with ...

Build comprehensive testing: unit, integration, contract tests for tool schemas, and end-to-end ... Working knowledge of OAuth2/OIDC authentication and scope/permission models. * Familiarity with ...

Build comprehensive testing: unit, integration, contract tests for tool schemas, and end-to-end ... Working knowledge of OAuth2/OIDC authentication and scope/permission models. * Familiarity with ...

Build comprehensive testing: unit, integration, contract tests for tool schemas, and end-to-end ... Working knowledge of OAuth2/OIDC authentication and scope/permission models. * Familiarity with ...

Build comprehensive testing: unit, integration, contract tests for tool schemas, and end-to-end ... Working knowledge of OAuth2/OIDC authentication and scope/permission models. * Familiarity with ...

Build comprehensive testing: unit, integration, contract tests for tool schemas, and end-to-end ... Working knowledge of OAuth2/OIDC authentication and scope/permission models. * Familiarity with ...

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Contract Knowledge Graph Software Engineer information

How does a contract knowledge graph software engineer typically collaborate with data scientists and domain experts during a project?

As a Contract Knowledge Graph Software Engineer, you’ll often work closely with data scientists and domain experts to ensure that the knowledge graph accurately represents the underlying data and business logic. Collaboration usually involves regular meetings to clarify requirements, discuss data models, and review results. You may be tasked with translating complex domain concepts into graph structures, while also providing feedback on data quality and integration challenges. This cross-functional teamwork ensures that the final product meets both technical standards and business needs.

What is the difference between Contract Knowledge Graph Software Engineer vs Contract Data Engineer?

AspectContract Knowledge Graph Software EngineerContract Data Engineer
Required CredentialsBachelor's in CS or related, knowledge of graph databases, programming skillsBachelor's in CS, experience with data pipelines, SQL, and cloud platforms
Work EnvironmentTech companies, consulting firms, project-based rolesData-focused teams, cloud environments, analytics projects
Industry UsageAI, semantic web, knowledge managementData warehousing, big data, analytics

The Contract Knowledge Graph Software Engineer primarily focuses on developing and maintaining knowledge graphs using graph databases and semantic technologies, while the Contract Data Engineer concentrates on building data pipelines, managing large datasets, and supporting analytics. Both roles require strong programming skills and are often found in tech-driven industries, but they serve different core functions within data and knowledge management ecosystems.

What is a contract knowledge graph software engineer?

A Contract Knowledge Graph Software Engineer is a professional who specializes in designing, developing, and maintaining knowledge graphs on a contract basis. Knowledge graphs are data structures that represent relationships between entities, enabling more effective data integration and semantic search. These engineers often work with graph databases, semantic web technologies, and ontologies to help organizations manage and leverage complex data. Their contract role means they are typically hired for specific projects or fixed periods rather than as permanent employees.

What are the key skills and qualifications needed to thrive as a contract knowledge graph software engineer?

To thrive as a Contract Knowledge Graph Software Engineer, you need a strong background in computer science, proficiency in graph databases (such as Neo4j or Amazon Neptune), and experience with knowledge representation and data modeling. Familiarity with programming languages like Python or Java, as well as tools for semantic web technologies (RDF, SPARQL), is typically required. Strong problem-solving skills, adaptability, and effective collaboration are essential soft skills in this role. These competencies ensure efficient design and implementation of complex knowledge graphs, enabling organizations to unlock valuable insights from their data.
What are the most commonly searched types of Knowledge Graph Software Engineer jobs in Arkansas? The most popular types of Knowledge Graph Software Engineer jobs in Arkansas are:
What cities in Arkansas are hiring for Contract Knowledge Graph Software Engineer jobs? Cities in Arkansas with the most Contract Knowledge Graph Software Engineer job openings:

$109K - $131K/yr

Other

Re-posted 7 days ago


Job description

Position: AI Engineer

Location: Carmel, IN, Little Rock, AR & Eagan, MN (Hybrid)

Duration: Contract to hire (6 months)

Responsibilities:

  • Research and prototype AI/ML models in areas such as NLP, computer vision, generative AI, and recommendation systems. Rapidly test new tools, frameworks, and APIs (e.g., OpenAI, Hugging Face, Google Vertex AI) for use in forward-looking applications.
  • Engage in ideation sessions and support the development of MVPs and scalable solutions.
  • Utilize a variety of programming languages and tools to build and deploy machine learning models.
  • Support both batch and real-time inference pipelines in collaboration with Data Science and Applied AI teams.
  • Support the development of MVP Gen AI applications by enabling data integrations, vendor connections, and deployment paths Assist in building custom deployment workflows in Python (e.g., with Kubernetes or REST APIs) when needed for prioritized prototypes
  • Collaborate closely to integrate AI into user-facing interfaces Use APIs (e.g., OpenAI, Hugging Face) to embed intelligent features. Ability to make timely recommendations to effectively solve problems, using independent judgment consistent with standards, practices, policies, procedures, regulations, and/or law.

Requirement:

  • Bachelor's degree in, Computer Science, Computer Information Systems, IT, Software Engineering, Data Analytics, Data Science OR Mathematics, Statistics, Economics, Business Administration, or related field with Equivalent Masters or Certifications and see level years of experience (required)
  • Masters, PhD, or Advanced degree (Preferred)
  • 3+ years of experience in AI/ML engineering (Preferred)
  • Experience working with generative AI (e.g., LLMs, diffusion models, multimodal models) preferred
  • Specific experience with R and Python (Required)
  • Previous energy industry experience (Preferred)
  • Specific experience with 5-7 of the following required: Predictive Modelling, Data Cleaning, Data Visualization, Segmentation Modelling, Natural Language Processing, Graph Database Knowledge, API Usage, Database Querying, Software Development, Applied Mathematical Modelling, Programming for Automation, Data Pipeline Building, CI/CD
  • Azure Certifications preferred