What success looks like in this role:
• Design and provision a secure Azure AI Foundry ML architecture for OCR-based billing data extraction, taking models from validation through production deployment to resolve revenue-impacting invoice processing delays.
• Build and operate an end-to-end AI pipeline — ingestion, model inference, and REST API integration — Azure Container Apps, API Gateway
• Containerized Python/FastAPI microservices with Docker, publish images to Azure Container Registry, and deploy to Azure Container Apps, enabling scalable HTTP-based model serving.
• Build CI/CD pipelines (Azure DevOps) automating deployment and version control for ML-enabled infrastructure and application services.
• Implement pipeline monitoring and observability (Azure Application Insights, centralized logging) to track model and service performance in production.
• Designing and managing environments that combine on-premises infrastructure
with cloud services.
• Integrating AI-driven automation to streamline tasks like resource provisioning and security enforcement, enhancing efficiency and adaptability.
• Researching new technologies related to the development of distributed
applications on the Cloud platform
#LI-LS1
You will be successful in this role if you have:
BE degree with 2+ years relevant experience
- Experience in DevOps and Cloud Operations.
- Strong knowledge of Microsoft Azure services.
- Experience with Azure Databricks (ADB).
- CI/CD tools such as Azure DevOps, Jenkins, or GitHub Actions.
- Scripting experience in Python, PowerShell, or Shell scripting.
- Knowledge of Infrastructure as Code (Terraform, ARM templates, etc.).
- Experience with monitoring and incident management.
Preferred Skills:
- Experience supporting data platforms and analytics environments.
- Knowledge of containers (Docker/Kubernetes).
- Understanding of cloud security and governance.
- AI/ML technical writer from the perspective of a perpetual learn
- Distilled intricate topics into digestible content, catering to both novice learners and seasoned professionals in the field
- Demystify the intricacies of computer vision, machine learning frameworks, and advanced neural network architectures
Unisys is proud to be an equal opportunity employer that considers all qualified applicants without regard to age, blood type, caste, citizenship, color, disability, family medical history, family status, ethnicity, gender, gender expression, gender identity, genetic information, marital status, national origin, parental status, pregnancy, race, religion, sex, sexual orientation, transgender status, veteran status or any other category protected by law.
Local employment practices and rights may vary by jurisdiction and are subject to applicable local laws. This commitment includes our efforts to provide for all those who seek to express interest in employment the opportunity to participate without barriers.
If you are a US job seeker unable to review the job opportunities herein, or cannot otherwise complete your expression of interest, without additional assistance and would like to discuss a request for reasonable accommodation, please contact our Global Recruiting organization at [email protected]. US job seekers can find more information about Unisys’ EEO commitment here.
Skills Required
- Bachelor of Engineering degree
- 2+ years of relevant experience
- Experience in DevOps and cloud operations
- Strong knowledge of Microsoft Azure services
- Experience with Azure Databricks
- Experience with CI/CD tools such as Azure DevOps, Jenkins, or GitHub Actions
- Scripting experience in Python, PowerShell, or Shell scripting
- Knowledge of infrastructure as code, including Terraform or ARM templates
- Experience with monitoring and incident management
- Experience supporting data platforms and analytics environments
- Knowledge of containers, including Docker or Kubernetes
- Understanding of cloud security and governance
- AI/ML technical writing experience
- Ability to explain computer vision, machine learning frameworks, and neural network architectures
Unisys Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Unisys and has not been reviewed or approved by Unisys.
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Fair & Transparent Compensation — Fair & Transparent Compensation: Compensation terms at hire are often presented clearly and upfront, creating a straightforward “take it or leave it” expectation. Pay outcomes are also described as variable by role and geography, with some pockets viewed as satisfactory or above average.
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Retirement Support — Retirement Support: A 401(k) plan with an employer match is commonly described as part of the core package. The match is often characterized as a meaningful component of total rewards relative to other benefits.
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Healthcare Strength — Healthcare Strength: Core medical, dental, and vision coverage is described as available and broadly in line with a large IT-services employer. The underlying carrier network is sometimes viewed as solid even when cost concerns exist.
Unisys Insights
What We Do
Unisys is a global information technology company that builds high-performance, security-centric solutions for the most demanding businesses and governments on Earth. Unisys offerings include security software and services; digital transformation and workplace services; industry applications and services; and innovative software operating environments for high-intensity enterprise computing. We build better outcomes securely for our clients across the Government, Financial Services and Commercial
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