Data állás, munka

Use AI-assisted development as a core engineering approach to accelerate delivery, improve code quality, and reduce operational toil—while ensuring strong human review, test coverage, and controlled releases Own delivery of cloud-scale infrastructure and automation capabilities from design through...

• Lead configuration, customization, and functional support for our global Salesforce platform.
• Troubleshoot issues and coordinate system upgrades and integrations (Oracle, Workday Adaptive, etc.).
• Ensure seamless user experience while collaborating with IT to strengthen data architecture.

Design, develop, and maintain components of the deployment stack and software kernels for AI compute platforms Optimize and implement core ML operators (e.g., GEMMs, convolutions, BLAS routines, SIMD kernels) Translate computational graphs from ML frameworks onto the underlying hardware Contribute...

• Help design smart, scalable cloud applications using Azure-native and custom components
• Build, operate, and monitor cloud solutions end‑to‑end
• Automate everything you can – scripts, processes, workflows

• Lead end-to-end delivery of Cloud and AI enablement programmes, managing timelines, risks, and resources.
• Act as the subject matter expert for Cloud and AI solutions, providing guidance to technical and non-technical stakeholders.

• Nagy mennyiségű adat elemzése, strukturálása és feldolgozása
• Adatminőségi problémák feltárása, javítása és dokumentálása
• Rendszeres adattisztítási (Data Cleansing) folyamatok kidolgozása és futtatása
• Automatizált adatfeldolgozó scriptek és folyamatok fejlesztése

Drive designing and building AWS infrastructure and landing zones Define AWS infrastructure using Terraform or OpenTofu with Terragrunt, or AWS CloudFormation, and build CI/CD pipelines Lead migrations of customer workloads from on-premises (on-prem), GCP, Azure, or Heroku to AWS Review and...

You will design, manage and operate ServiceNow solutions that power ISM’s user‑centric services, partnering with business stakeholders to co‑create workflows and knowledge that enable first‑time support, efficient escalations, and transparent service delivery....

• Design and maintain robust, scalable data architectures
• Build and optimize high‑performance data models for analytics
• Partner with business and engineering teams to shape data solutions end‑to‑end
• Lead data integration, transformation, and migration efforts