AIOps/MLOps Engineer: AI Infra & Pipelines

Netision Technology LLP; United Arab Emirates; On-site; AED 320,000 - 520,000; Full time

Benefits offered by this job

Competitive salary

Cutting-edge AI/ML tech

Career growth opportunities

Job summary

Netision Technology LLP in Abu Dhabi, United Arab Emirates, seeks an experienced AIOps / MLOps Engineer to design, build, and maintain AI/ML infrastructure, pipelines, and governance across production systems. You will work with data scientists, data engineers, and software engineers to ensure reliable deployment and scalable operations.

The role emphasizes automation, IaC, cloud-native approaches (Azure), observability, and security, with opportunities to lead multi-disciplinary initiatives and

Qualifications

• Bachelor’s or Master’s degree in CS, software engineering, or related field.
• 5+ years of hands-on experience building ML infra and pipelines in production.
• Experience with cloud platforms, especially Microsoft Azure and its AI/ML services.
• Containerization and orchestration with Docker and Kubernetes.
• Scripting/automation with Python, Bash, or PowerShell.
• CI/CD tools and Infrastructure-as-Code (Terraform, ARM templates).
• Monitoring/observability tools (Azure Monitor, Prometheus, Grafana, ELK).
• Familiarity with MLOps platforms (MLflow, Kubeflow).
• Data governance, lineage, security best practices in cloud.
• Automation mindset, proactive.

Responsibilities

• Design and implement robust MLOps pipelines for end-to-end lifecycle of AI/ML models.
• Develop and maintain AI/ML infrastructure leveraging Azure cloud-native tools.
• Build and manage CI/CD pipelines for AI/ML models and code.
• Implement monitoring and observability for AI/ML systems.
• Develop and integrate AIOps capabilities to automate incident management.
• Establish MLOps best practices including version control and experiment tracking.
• Collaborate with Data Scientists, AI Engineers, and Data Engineers.
• Integrate AI/ML models into applications ensuring scalability and performance.
• Automate infrastructure provisioning using IaC tools (Terraform, ARM templates).
• Evaluate and adopt new AIOps/MLOps tools and technologies.

Skills

Azure

Kubernetes

Docker

Python

CI/CD

MLflow

Kubeflow

Terraform

ARM templates

Azure Monitor

Data governance

Education

Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related technical field

Tools

Azure Machine Learning

Azure Kubernetes Service

Azure Data Factory

Docker

Kubernetes

MLflow

Kubeflow

Terraform

ARM templates

Azure DevOps

Prometheus

Grafana

ELK stack

Job description

Netision Technology LLP in Abu Dhabi, United Arab Emirates, seeks an experienced AIOps / MLOps Engineer to design, build, and maintain AI/ML infrastructure, pipelines, and governance across production systems. You will work with data scientists, data engineers, and software engineers to ensure reliable deployment and scalable operations.

The role emphasizes automation, IaC, cloud-native approaches (Azure), observability, and security, with opportunities to lead multi-disciplinary initiatives and