DevOps Engineer(AI)
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Responsibilities:
/h3ulliDesign, implement, and maintain CI/CD pipelines for cloud-native and AI applications. /liliManage and optimize infrastructure on AWS, Azure, or Google Cloud Platform. /liliAutomate deployment, monitoring, and scaling using Infrastructure as Code (Terraform, Ansible, CloudFormation). /liliSupport AI/ML model deployment, versioning, and lifecycle management using MLOps practices. /liliImplement containerization and orchestration using Docker and Kubernetes. /liliMonitor system performance, reliability, security, and cost optimization. /liliCollaborate with Data Scientists, AI Engineers, and Software Development teams to operationalize AI solutions. /li /ulh3Required
Skills:
/h3ulli4+ years of experience in DevOps, Cloud Engineering, or Site Reliability Engineering. /liliStrong experience with Azure, AWS, or GCP. /liliHands-on expertise in Docker, Kubernetes, Jenkins, GitLab CI/CD, GitHub Actions, or Azure DevOps. /liliExperience with Infrastructure as Code tools such as Terraform or Ansible. /liliKnowledge of Linux administration, scripting (Python, Bash, PowerShell), and networking fundamentals. /liliExperience deploying and managing AI/ML workloads and MLOps platforms. /li /ulpb\"By applying for this role, you consent to the processing of your personal data for recruitment purposes in compliance with the EU GDPR and other applicable data protection regulations\" /b. /p
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