DevOps Engineer(AI)
Il y a 4 heures
Arrondissement of BrusselsCapital, Brussels, Belgique
Capgemini
Temps plein
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pWe are seeking a highly skilled bDevOps Engineer with AI/ML platform experience /b to design, implement, and maintain scalable cloud infrastructure supporting AI-driven applications. The ideal candidate will have expertise in DevOps automation, CI/CD, cloud technologies, containerization, and MLOps practices to enable efficient deployment and monitoring of AI solutions. /p h3Key
Responsibilities:
/h3 ul liDesign, implement, and maintain CI/CD pipelines for cloud-native and AI applications. /li liManage and optimize infrastructure on AWS, Azure, or Google Cloud Platform. /li liAutomate deployment, monitoring, and scaling using Infrastructure as Code (Terraform, Ansible, CloudFormation). /li liSupport AI/ML model deployment, versioning, and lifecycle management using MLOps practices. /li liImplement containerization and orchestration using Docker and Kubernetes. /li liMonitor system performance, reliability, security, and cost optimization. /li liCollaborate with Data Scientists, AI Engineers, and Software Development teams to operationalize AI solutions. /li /ul h3Required
Skills:
/h3 ul li4+ years of experience in DevOps, Cloud Engineering, or Site Reliability Engineering. /li liStrong experience with Azure, AWS, or GCP. /li liExperience with Infrastructure as Code tools such as Terraform or Ansible. /li liKnowledge of Linux administration, scripting (Python, Bash, PowerShell), and networking fundamentals. /li liExperience deploying and managing AI/ML workloads and MLOps platforms. /li /ul
Responsibilities:
/h3 ul liDesign, implement, and maintain CI/CD pipelines for cloud-native and AI applications. /li liManage and optimize infrastructure on AWS, Azure, or Google Cloud Platform. /li liAutomate deployment, monitoring, and scaling using Infrastructure as Code (Terraform, Ansible, CloudFormation). /li liSupport AI/ML model deployment, versioning, and lifecycle management using MLOps practices. /li liImplement containerization and orchestration using Docker and Kubernetes. /li liMonitor system performance, reliability, security, and cost optimization. /li liCollaborate with Data Scientists, AI Engineers, and Software Development teams to operationalize AI solutions. /li /ul h3Required
Skills:
/h3 ul li4+ years of experience in DevOps, Cloud Engineering, or Site Reliability Engineering. /li liStrong experience with Azure, AWS, or GCP. /li liExperience with Infrastructure as Code tools such as Terraform or Ansible. /li liKnowledge of Linux administration, scripting (Python, Bash, PowerShell), and networking fundamentals. /li liExperience deploying and managing AI/ML workloads and MLOps platforms. /li /ul