Ai és automatizáció állások, munkák

Developing and continuously enhancing Continuous Auditing (CA) methodologies, including report-based and data-driven auditing approaches...

• Üzleti folyamatok, kivételek, adatforrások és jogosultságok feltérképezése; műszaki tervek, adatmodellek és adatszerződések kialakítása.
• AI-integrációk, ASP.NET Core szolgáltatások, háttérfolyamatok, REST/gRPC kapcsolatok és üzenetalapú megoldások fejlesztése.

• Learning the existing system architecture, codebase, tools, and development practices
• Validating existing technical documentation and flagging any gaps or outdated content
• Proactively highlighting blockers to knowledge transfer such as missing info, unclear logic, inaccessible systems

• Supporting the development of new hardware platforms used for prototyping Arm’s latest IP
• Collaborating with experienced engineers across Software, SoC, Characterisation, and Verification teams
• Helping define specifications for new hardware platforms

• CI/CD-folyamatok tervezése, felépítése és üzemeltetése (Azure DevOps, GitLab CI, GitHub Actions vagy Jenkins)
• Infrastruktúra kezelése kód formájában (Terraform, Bicep/ARM, Ansible)
• Konténeres környezetek felépítése és üzemeltetése (Docker, Kubernetes / AKS)

• Leading a dynamic, cross-functional team dedicated to standardizing and elevating operational workflows
• Equipping Wise’s operational teams with out-of-the-box solutions and actionable data insights for efficient and consistent customer service

• Collaborate with business stakeholders to identify opportunities and translate business challenges into actionable Data Science and AI use cases.
• Design, develop and evaluate machine learning models using statistical methods, supervised and unsupervised learning techniques.

• Design, build and maintain enterprise Azure cloud infrastructure and platform services.
• Develop and maintain Infrastructure as Code solutions using Terraform.
• Design, implement and maintain Azure Landing Zones, governance policies and platform standards.

• Design and own the Azure Native Data & AI Platform architecture
• Lead Azure Databricks platform implementation and evolution
• Define enterprise data, analytics, ML and AI platform standards and best practices
• Design Lakehouse and Medallion architectures

• Technically managing a team of 2-3 AI and cloud engineers focused on fast prototyping of AI/ML solutions in AWS cloud
• Providing mentoring and technical support to junior and medium teammates
• Acting as a trusted advisor to clients

• Driving designing and building AWS infrastructure and landing zones
• Defining AWS infrastructure using Terraform or OpenTofu with Terragrunt, or AWS CloudFormation, and building CI/CD pipelines
• Leading migrations of customer workloads from on-premises (on-prem), GCP, Azure, or Heroku to AWS

• Writing reusable, testable, and efficient code, mainly in Python
• Delivering great user experience by the development of great user interfaces
• Handling security and data protection professionally and precisely

• Building and refining critical controls to prevent Wise customers from scams
• Driving backend and frontend development for scam prevention and detection systems with 80% focus on backend and 20% on frontend

• Architecting complex AWS infrastructures and zero-day compliant landing zones
• Understanding customers’ business problems and providing technology consulting to identify the best-fit solution
• Owning the end-to-end solution as a key decision-maker and driving the delivery team

• Building and refining critical controls to prevent Wise customers from scams
• Driving backend and frontend development for scam prevention and detection systems with 80% focus on backend and 20% on frontend

Tackling complex technical challenges focused on scalability, reliability, and speed, maintaining a high-performance infrastructure that processes millions of events with low latency...

• Mastering in layer rendering tasks (start and manage)
• Discovering render errors and re-submitting halted renders
• Creating logs of errors and forwarding them to production managers and CG supervisors
• Creating logs of the versions of finished render layers continuously

• Writing reusable, testable, and efficient code, mainly in Python
• Delivering great user experience by the development of great user interfaces
• Handling security and data protection professionally and precisely

• Writing reusable, testable, and efficient code, mainly in Python
• Mastering the integration of user-facing elements developed by front-end developers with server side logic
• Being a magician of integration of data storage solutions
• Handling security and data protection professionally and precisely

Developing a thorough understanding of the Sage Workplace Management operating model, contractual requirements and reporting objectives to support successful contract delivery...

• Leveraging cutting-edge machine learning to run risk assessments instantly every time a customer uses the calculator
• Owning the risk infrastructure for Instant ACH, providing instant transfers despite the payment network not supporting that