ML Devops Engineer

Role: ML Devops Engineer

Location: Remote (ET/CT)

Duration: 6 months

• Working Knowledge of Kubernetes and the cloudnative tech stack such as Istio Knative etc.
• Hands on working experience with programming languages such as Go Python etc.
• Atleast 8 12 years of work experience as Cloud Devops engineer (AWS or GCP)
• Solid understanding of Cloud Infrastructure preferably AWS
• Experience with using and implementing IaC; Terraform Crossplane
• Experience in containerization technologies like Docker Kubernetes GKE
• Experience in building and managing CI/CD pipelines using tools like GitHub Actions with ArgoCD
• Minimum 4 years Git experience
• Experience with Infrastructure as Code such as Terraform Ansible & CloudInit
• Should be an expert in orchestrating solutions using Infrastructure as Code (IaC) using tools such as Terraform etc. and has knowledge on GitOps like Argo CD or Tekton
• Orchestrating Machine Learning workloads using any of Kubeflow Ray Torchserve etc.