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Recruitment consultants will write detailed, honest accounts of their professional processes to help train AI models. This involves documenting specific tasks like sourcing or talent mapping with depth and clarity.
Recruitment consultants will write detailed, honest accounts of their professional processes to help train AI models. This involves documenting specific tasks like sourcing or full-cycle searches with depth, including decision points and edge cases.
You will contribute to customer implementations across the application lifecycle and deliver classroom-based training to architects and developers. Additionally, you will act as a trusted advisor to clients while partnering with product teams to influence the MongoDB product roadmap.
Recruitment consultants will write detailed, honest accounts of their professional processes to help train AI models. This involves documenting specific tasks like sourcing or full-cycle recruiting with depth and clarity.
Recruitment consultants will write detailed, honest accounts of their professional processes to help train AI models. This involves documenting specific tasks like sourcing or full-cycle recruiting with depth, judgment calls, and edge cases.
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![D-Wave is hiring for remote Senior AI DevOps Developer [584]](/assets/4684c976-ddf9-4270-8619-f60f54c3a193.jpeg){kind=small}
You will design, build, and operate internal AI-powered tools and platforms to streamline developer productivity and automate workflows. Additionally, you will manage deployment pipelines for AI models and ensure the reliability and security of the AI infrastructure.
Recruitment consultants will write detailed, honest accounts of their professional processes to help train AI models. Tasks involve documenting specific workflows, decision points, and edge cases in a clear and thorough manner.
You will lead technical improvements and architectural decisions across the EnCore ERP platform while mentoring developers and establishing engineering standards. The role involves managing production incidents, designing modernization strategies for legacy systems, and integrating AI workflows to enhance team productivity.
Recruitment consultants will write detailed, honest accounts of their professional processes to help train AI models. This involves documenting specific tasks like sourcing, talent mapping, or full-cycle recruiting with depth and clarity.
The Quality Assurance & UAT Engineer will execute user acceptance testing for workforce management products and validate that new features meet business requirements. They will also collaborate with cross-functional teams to document defects, track resolutions, and ensure production readiness.
You will document detailed, step-by-step accounts of complex travel planning processes to help train AI models. This involves writing thorough, honest narratives about your professional decision-making and workflows as a travel agent.
The Quality Assurance & UAT Engineer will execute user acceptance testing for workforce management products and validate that new features meet business requirements. They will also collaborate with cross-functional teams to document defects, track resolutions, and ensure production readiness.
The AI trainer will document complex travel processes, such as itinerary building or trip disruption management, to help train AI models. This involves writing detailed, honest accounts of professional tasks in their own voice.
Create detailed, written accounts of complex travel agent processes to help train AI models. You will document steps, tools, decision points, and edge cases based on your professional experience.
Create detailed, written accounts of complex travel processes to help train AI models. Document specific steps, decision points, and edge cases involved in professional travel agency tasks.
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The contractor will redesign an existing WordPress website to be modern, responsive, and user-friendly for a translation company. Responsibilities include building custom forms, optimizing for SEO and speed, and providing documentation for ongoing content management.
The Senior Technical Consultant leads the design, implementation, and migration of modern compute and virtualization solutions for clients. This role involves conducting discovery workshops, managing infrastructure deployments, and providing technical leadership throughout the project lifecycle.
You will be responsible for optimizing GCP cloud spend through FinOps practices and managing the Kubernetes platform lifecycle. Additionally, you will automate infrastructure provisioning and support engineering teams using AI-assisted development workflows.
The specialist will implement and configure Microsoft security solutions, including identity controls, endpoint protection, and SIEM/SOAR management. They will also collaborate on security assessments, compliance projects, and technical documentation for clients.
The Software Engineer I is responsible for maintaining and developing software applications while contributing to the application development process through coding, debugging, and testing. They will work in an agile environment to design, release software enhancements, and collaborate with QA to build automation tests.
You will build AI-powered internal tools and systems to automate workflows and improve operational efficiency across the company. This involves identifying opportunities for AI integration and owning the end-to-end execution from concept to production.
You will build AI-powered internal tools and systems to automate workflows and improve operational efficiency across various departments. This involves identifying opportunities for AI integration, designing intelligent solutions, and owning the end-to-end execution from concept to production.
You will identify opportunities to improve internal workflows across departments like People, Finance, and Operations by building AI-powered tools. You are responsible for the end-to-end execution of these systems, from initial concept and design to production deployment and iteration.
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You will design, build, and maintain scalable cloud infrastructure while collaborating with software engineers to meet their infrastructure needs. Additionally, you will automate routine processes and enhance CI/CD pipelines to improve operational efficiency and system reliability.
The engineer will design and build APIs for AI/agent consumption that expose business concepts and metrics while ensuring governed data access. They will also collaborate with data architects and AI teams to integrate transactional and analytical data sources into a shared definition contract.
The Senior AI Engineer designs, builds, and scales production-grade Agentic AI systems to drive business outcomes. They collaborate with cross-functional teams to transition AI concepts into enterprise-ready products while ensuring system reliability and performance.
Provide first-level technical support for hardware, software, and configuration issues via multiple communication channels. Document interactions, maintain accurate case records, and escalate complex issues to specialist teams.
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