AI/ML Platform Engineer — MLOps & K8s Pipelines

Jaheziya; Abu Dhabi; On-site; AED 300,000 - 520,000; Full time

Job summary

Jaheziya is seeking a skilled AI systems engineer to design, deploy, and scale AI/ML platforms in Abu Dhabi. You will build robust MLOps pipelines, containerized deployments, and CI/CD for AI applications.

You will collaborate with data scientists and engineers to operationalize AI solutions, monitor performance, and ensure reliability and security across production environments in the cloud-based stack.

Qualifications

• Bachelor's degree in CS/AI/DS/SE or related field.
• 3–8 years of experience in AI systems engineering, MLOps, or ML platform engineering.
• Strong programming skills in Python.
• Experience with cloud platforms such as Azure, AWS, or GCP.
• Hands-on experience with Docker and Kubernetes.
• Experience designing and maintaining CI/CD pipelines.
• Knowledge of distributed systems and scalable AI infrastructure.
• Experience deploying and operationalizing ML and generative AI solutions.

Responsibilities

• Design, deploy, and maintain scalable AI/ML systems and infrastructure.
• Develop and manage MLOps pipelines for automated model deployment and monitoring.
• Ensure performance, reliability, security, and scalability of AI platforms.
• Deploy, serve, and optimize ML and generative AI models for production.
• Build and maintain CI/CD pipelines for AI applications.
• Manage containerized AI applications using Docker and Kubernetes.
• Collaborate with data scientists, software engineers, and stakeholders to operationalize AI solutions.
• Monitor AI system performance, reliability, and availability; implement improvements.
• Troubleshoot production issues and optimize AI infrastructure.

Skills

Python programming

ML/Ops

Distributed systems

AI infrastructure

CI/CD pipelines

Production ML deployment

Collaboration

Education

Bachelor's degree in CS/AI/DS/SE

Tools

Docker

Kubernetes

Terraform

Job description

Jaheziya is seeking a skilled AI systems engineer to design, deploy, and scale AI/ML platforms in Abu Dhabi. You will build robust MLOps pipelines, containerized deployments, and CI/CD for AI applications.

You will collaborate with data scientists and engineers to operationalize AI solutions, monitor performance, and ensure reliability and security across production environments in the cloud-based stack.