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Contract Knowledge Graph Software Engineer Jobs in Montreal, QC

L3HHCM20

Software Engineer

Montreal, QC · On-site

About your next Challenge as a Software Engineer: We are seeking an junior-level automation ... The knowledge of the English language, other than the French language is necessary due to ...

hireVouch

Software Engineer - trading

Montreal, QC · On-site

We are looking for multiple passionate Software Developers to join our team. You will develop ... Strong knowledge and experience in Python or C++. Experience in both is an asset. * Passion for ...

Ubisoft

Software Engineer - MLOPS

Montreal, QC

As a Machine Learning Operations Software Engineer at Ubisoft Montréal, you will help build ... Practical knowledge of cloud environments and containerized systems (Kubernetes, ArgoCD, AWS ...

Autodesk

Principal Engineer - Search AI

Montreal, QC

CA$131K - CA$191K/yr

Everything around us is made using Autodesk software. Autodesk's leading Design and Make Platform ... Exposure to Knowledge Graph/ Graph Databases * Experience in monitoring and improving Reliability ...

trane technologies

Software Engineer III

Montreal, QC · On-site +1

Mentor engineers through technical guidance, code reviews, and knowledge sharing. * Own technical ... Bachelor's or Master's degree in Software Engineering, Computer Science, or an equivalent field ...

SAP

Senior AI Machine Learning Engineer

Montreal, QC · On-site

Geometric ML Knowledge · Develop and optimize: o Graph Neural Networks (GNNs), Graph Transformers ... Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to ...

Apertera

Senior Software Engineer

Montreal, QC · On-site

Contribute to technical documentation and knowledge sharing within the team * Participate in code ... Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent ...

CultureFit

Back End Software Engineer

Longueuil, QC · On-site

As a Backend Software Engineer, you will: Design, develop, and implement new backend features based ... Knowledge of DataDog or similar observability tools for monitoring, alerting, and troubleshooting.

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Contract Knowledge Graph Software Engineer information

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.

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.

Contract Knowledge Graph Software Engineer jobs near you

Software Engineer

Aviya Aerospace Systems

Longueuil, QC • On-site

Full-time

Re-posted 13 hours ago

Job description

Aviya Aerospace Systems is a leader in engineering services and solutions for mission critical Aerospace and Defense applications.  Aviya provides expertise in program management, systems, software, mechanical, and hardware engineering to many of the top-tier Aerospace and Defense Contractors. We have an immediate opening for a Software Developer to join our engineering group in Longueuil, Quebec.  *Applicants are kindly asked to include an English resume as part of their application for this position.*
Specific Position Duties
  • Design and update software applications to accommodate new design proposals.
  • Continuously monitor production system performance KPIs and investigate in-service open issues.
  • Design and update software to implement issues/enhancements into the applications for continuous improvements.
  • Create and update class diagrams and design specification documents for new developments.
  • Responsible for verification procedures and unit testing in support of CI/CD.
  • Collaborate with the IT department for DevOps activities, applications troubleshooting.
Qualifications for Position
  • Bachelor's/Master's degree in Software Engineering, or Computer Science.
  • Minimum of 2-3 years' experience in design, development and support of production-tier software application services and micro-services.
  • Scrum/Agile software development and project life cycle experience.
  • Experience with Azure Dev Ops, GitHub tools for software configuration management systems and version control processes.
  • Strong programming skills in Java, Python.
  • Strong knowledge of software development process and Object-Oriented Programming skills (Java, Python).
  • Knowledge of Message Queue Systems, especially Apache Kafka and Kafka Streams.
  • AWS serverless knowledge to participate in the migration to Cloud based infrastructure.
  • Proficient in MS Office, especially in Excel.
  • Good oral and written communication skills in English is mandatory.
  • Good team player, strong analytical skills and highly motivated.
For further information please visit us at www.aviyatech.com
 
Aviya Aerospace Systems is an equal opportunity employer and is committed to fostering a diverse and inclusive work environment. Upon request, Aviya will accommodate candidates with disabilities throughout the hiring process up to the point of undue hardship.
 
Thank you for your interest in Aviya Aerospace Systems. We are diligently reviewing every application, however only those applicants selected to move onto the next step will be contacted. 
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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