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NTT DATA Business Solutions
Devops
DevOps Operations Engineer – GenAI & MLOps (AIS Team)
AzureAzure DevOpsCi/CdPythonPowerShellAzure OpenaiAzure Ai FoundryApi ManagementMlopsModel Lifecycle ManagementAi/MlMachine Learning Operations
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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