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5+ years of hands-on experience as a DevOps Engineer, SRE Engineer, or similar role, with a focus on MLOps.
Expert-level knowledge of Kubernetes, Docker, Helm, Jenkins, ArgoCD, KubeFlow, and MLFlow, with a proven track record of setting up and configuring complex MLOps deployments.
Strong proficiency in scripting and automation using tools such as Bash, Python, or PowerShell.
Solid understanding of CI/CD principles and best practices, specifically tailored for machine learning and AI technologies.
Experience with versioning and reproducibility tools and frameworks such as Git, DVC, and MLflow.
Familiarity with infrastructure-as-code (IaC) tools like Terraform and Ansible.
Deep understanding of Linux systems and administration.
Familiarity with cloud platforms such as AWS, Azure, or GCP, and the ability to deploy and manage MLOps infrastructure in a cloud environment. (Azure Preferred)
Strong problem-solving skills and the ability to troubleshoot complex issues in a distributed systems environment.
Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams. Certifications in relevant areas such as Kubernetes (CKA/CKAD), AWS, or Azure.
Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
Knowledge of model serving technologies such as TensorFlow Serving or Seldon.
Experience with monitoring and logging tools like Prometheus, Grafana, ELK
Expert-level knowledge of Kubernetes, Docker, Helm, Jenkins, ArgoCD, KubeFlow, and MLFlow, with a proven track record of setting up and configuring complex MLOps deployments.
Strong proficiency in scripting and automation using tools such as Bash, Python, or PowerShell.
Solid understanding of CI/CD principles and best practices, specifically tailored for machine learning and AI technologies.
Experience with versioning and reproducibility tools and frameworks such as Git, DVC, and MLflow.
Familiarity with infrastructure-as-code (IaC) tools like Terraform and Ansible.
Deep understanding of Linux systems and administration.
Familiarity with cloud platforms such as AWS, Azure, or GCP, and the ability to deploy and manage MLOps infrastructure in a cloud environment. (Azure Preferred)
Strong problem-solving skills and the ability to troubleshoot complex issues in a distributed systems environment.
Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams. Certifications in relevant areas such as Kubernetes (CKA/CKAD), AWS, or Azure.
Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
Knowledge of model serving technologies such as TensorFlow Serving or Seldon.
Experience with monitoring and logging tools like Prometheus, Grafana, ELK
Key Skills
Ranked by relevance
machine learning
kubernetes
tensorflow
cloud
mlops
aws
prometheus
terraform
kubeflow
jenkins
grafana
pytorch
python
docker
devops
mlflow
linux
bash
cicd
git
gcp
elk
ai
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- Posted
- Nov 28, 2025
- Type
- Full-time
- Level
- Associate
- Location
- Dubai
- Company
- Virtusa
Industries
IT Services
IT Consulting
Categories
Management
Manufacturing
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3 roles aligned with this opportunity
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Not Applicable
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IT Services
Management
View Job Details
Related
Software Craftsperson/Node/Typescript/ReactJS -II
2026-05-27
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Management