MLOps AI Platform Engineer

Job Title: MLOps AI Platform Engineer
Experience: 3 11 Years
Location: Riyadh - Onsite
Employment Type: Full time

Job Overview

We are seeking a skilled MLOps AI Platform Engineer with 3 11 years of experience to build, automate, and manage scalable machine learning platforms and production AI environments. The ideal candidate will have hands-on expertise in MLOps, Kubernetes, cloud-native AI infrastructure, CI/CD automation, and model lifecycle management. You will be responsible for enabling data scientists and AI engineers to efficiently develop, deploy, monitor, and maintain machine learning models at scale.

Key Responsibilities
- Design, build, and maintain enterprise-grade MLOps platforms and AI infrastructure.
- Develop and automate end-to-end machine learning pipelines for training, validation, deployment, and monitoring.
- Implement model versioning, experiment tracking, and model registry solutions.
- Build scalable CI/CD pipelines for AI/ML workloads.
- Deploy and manage machine learning workloads on Kubernetes-based environments.




- Collaborate with Data Scientists, AI Engineers, Data Engineers, and DevOps teams to operationalize ML solutions.
- Implement Infrastructure as Code (IaC) for cloud-native AI platforms.
- Monitor platform health, model performance, and infrastructure availability.
- Ensure platform security, scalability, reliability, and operational excellence.
- Troubleshoot production issues and continuously optimize platform performance.

Required Technical Skills MLOps Platforms
- Hands-on experience with Kubeflow or Vertex AI Pipelines or SageMaker Pipelines.
- Strong experience with MLflow for experiment tracking, model registry, and lifecycle management.
- Experience orchestrating machine learning workflows using Apache Airflow.

Containerization Orchestration
- Strong expertise in Kubernetes (GKE or AKS or EKS).
- Experience deploying and managing containerized AI/ML workloads in cloud environments.

Infras

📌 MLOps & AI Platform Engineer (Bengaluru)
🏢 Datamatics
📍 Bengaluru