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CGI
Candidates need hands-on AWS experience (SageMaker is a strong asset), proven deployment of machine learning models to production, and deep senior-level Python skills. A solid grasp of RAG, agents and classical machine learning is also required, and Capital Markets experience is a strong plus.
AWS SageMaker, MLflow, Airflow, Step Functions, CloudWatch, Bedrock
CGI
6+ ansMinimum de 6 ans d'expérience en DevOps; Expertise de l'écosystème AWS (EC2, S3, RDS, EKS, Lambda, IAM); Compétences en scripting Bash, Python ou PowerShell
AWS, AWS CodePipeline, AWS CodeBuild, AWS CodeDeploy, GitHub, GitLab CI
Nöord Technologies Corporation
Candidates need hands-on AWS experience, ideally SageMaker, and a proven record of deploying machine learning models to production. Senior Python skills, solid knowledge of generative AI (RAG and agents), and fluent English are required.
AWS SageMaker, MLflow, Airflow, Bedrock, Lambda, Athena
Deloitte
6+ ansCandidates need 6+ years in software, systems, DevOps or SRE work, including 4+ years on AWS in production. Deep hands-on Amazon EKS and Terraform experience is required, plus CI/CD, incident management and the ability to influence technical direction.
Amazon EKS, Terraform, Terragrunt, AWS CodePipeline, AWS CodeBuild, Kubernetes
6 entreprises