Job Description
Key Responsibilities
- Design and implement CI/CD pipelines for AI solutions.
- Automate infrastructure provisioning using Terraform or Bicep.
- Manage AI environment deployments across dev, test, and production.
- Implement monitoring, logging, and observability for AI services.
- Configure secure environment setup, networking, and access controls.
- Manage model deployment pipelines and versioning.
- Ensure scalable and reliable deployment of agents.
- Implement automated rollback and resilience strategies.
- Azure DevOps / GitHub Actions
- Terraform / Infrastructure as Code
- Kubernetes / containerization
- Monitoring tools (Application Insights, Prometheus, etc.)
- Cloud networking and security
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- AI platform deployments
- MLOps pipelines
- Model lifecycle management
Skills
AiMlopsModel DeploymentIf a job posting appears fraudulent, asks for payment, contains misleading information, or violates our guidelines, please report it immediately. Our team will review it promptly, Jobaaj does not charge any fee from the applicants.
About Company
Zensar Technologies careers provide a platform for individuals passionate about driving digital innovation and transformation. As a leading global technology services company, Zensar Technologies specializes in IT consulting, software development, and comprehensive managed services, enabling businesses to excel in the digital age. A career at Zensar Technologies is an opportunity to be part of a dynamic, creative team that is focused on delivering exceptional outcomes for clients across various industries. The company fosters a culture of learning, collaboration, and growth, empowering employees to explore new technologies, develop their skills, and contribute to meaningful projects. Joining Zensar Technologies means embarking on a journey to redefine business landscapes through technology and innovation.
Important dates & deadlines?
Application Deadline
14 Nov 26, 04:05 PM IST
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DevOps Engineer (AI Platform)
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