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NTT DATA Business Solutions
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Devops

DevOps Operations Engineer – GenAI & MLOps (AIS Team)

AzureAzure DevOpsCi/CdPythonPowerShellAzure OpenaiAzure Ai FoundryApi ManagementMlopsModel Lifecycle ManagementAi/MlMachine Learning Operations
Work Type
Remote
Job Type
-
Location
Worldwide
Salary
Not specified

About the Position

Join the Artificial Intelligence Services (AIS) team as a DevOps Operations Engineer to support and optimize GenAI platform services, ensuring a seamless experience for internal and external users. You will provide operational support, troubleshoot incidents, and drive continuous improvements across AI and MLOps landscape.

Responsibilities

  • Support customers and project teams in the successful adoption and usage of GenAI platform services.
  • Investigate, troubleshoot, and resolve incidents and service requests in line with agreed SLAs.
  • Provide application-level support with a focus on AI model lifecycle management and MLOps capabilities.
  • Conduct troubleshooting and screen-sharing sessions with users and stakeholders.
  • Create, improve, and maintain technical documentation, user guides, tutorials, and knowledge base articles.
  • Collaborate closely with Product Owners, DevOps Engineers, Service Desk teams, and 2nd-level support organizations.
  • Contribute to the design, testing, deployment, and automation of new MLOps features and capabilities.
  • Support the development and optimization of Azure DevOps pipelines and deployment automation.
  • Research and propose improvements that simplify, automate, and enhance operational processes.
  • Actively participate in Agile team ceremonies, knowledge-sharing activities, and continuous service improvement initiatives.

Requirements

  • Strong experience working in Microsoft Azure Cloud environments.
  • Hands-on experience with Azure DevOps and CI/CD pipelines.
  • Knowledge of monitoring and operational support practices.
  • Experience with Python and automation scripting.
  • Understanding of PowerShell.
  • Solid knowledge of Azure services such as: Azure OpenAI, Azure AI Foundry, API Management, Other relevant Azure platform components
  • Experience with or understanding of: Machine Learning Operations (MLOps), Model Lifecycle Management, AI/ML service operations
  • Basic understanding of Data Science and Data Engineering workflows.
  • Experience in Agile delivery environments.
  • Strong customer-oriented mindset.
  • Excellent analytical and problem-solving abilities.
  • Hands-on, proactive, and solution-driven approach.
  • Ability to work under pressure and manage multiple priorities.
  • Strong attention to detail.
  • Team-player mindset with the ability to collaborate across international teams.
  • Ability to explain complex technical topics in a clear and understandable way.
  • Passion for knowledge sharing and continuous learning.
  • Fluent English communication skills (written and spoken).

Benefits

  • The opportunity to participate in a variety of projects.
  • Multisport Plus card.
  • Private medical care (LUX MED).
  • Group insurance.
  • Access to comprehensive psychological support, individual sessions with coaches and psychodietitians, as well as inspiring webinars.
  • Remote work from any location, or a hybrid model using our offices located in Poznań.
  • A home office package to increase remote work comfort (chair, additional monitor, ergonomic mouse, etc.).
  • Modern offices equipped with amenities such as a pool table, foosball, darts, and relaxation zones.
  • Opportunities to spend time together after work - combining our employees’ passions through ski trips, cycling tours, and sailing adventures.
  • Regular company-wide and team-based integration events, as well as many other occasions to meet and exchange ideas with colleagues.
  • Celebrations of important moments in the lives of our employees.
  • An open approach to new ideas and initiatives, including charity actions
DevOps Operations Engineer – GenAI & MLOps (AIS Team)
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