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MLOps Engineer

Discovered MENA
Remote, UAE
Full-time
Mid-Senior
Remote
Discovered 3 weeks ago
PythonGoJavaMLflowKubeflowDocker
Free

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Overview

Discovered MENA seeks an MLOps Engineer to design and develop an enterprise-grade ML platform. The role involves designing and automating end-to-end ML pipelines, configuring model serving infrastructure, and implementing production monitoring and logging systems.

Responsibilities

  • Design and automate end-to-end ML pipelines for continuous integration, continuous delivery, and continuous training (CI/CD/CT)
  • Configure model serving infrastructure supporting both ultra-low latency real-time APIs (e.g., FastAPI, gRPC) and large-scale batch inference
  • Implement production monitoring and logging systems to track model performance, runtime latencies, data drift, and concept decay
  • Manage model registries and metadata using tools like MLflow or Kubeflow to ensure auditable lineage, reproducible versioning, and artifact tracking
  • Orchestrate and scale containerized applications using Docker and production-grade Kubernetes or managed cloud services (EKS, AKS)
  • Partner with security and data governance teams to enforce pipeline encryption, network isolation, secure IAM policies, and strict compliance standards

Requirements

  • 3-7 years of hands-on experience building and operating high-availability ML pipelines, automation scripts, and foundational platform infrastructure
  • Strong programming proficiency in Python, Go, or Java
  • Deep familiarity with tools such as MLflow, Kubeflow, Argo Workflows, Feast, or managed platform equivalents (SageMaker, Azure ML)
  • Hands-on experience with Docker, Kubernetes, Infrastructure-as-Code (Terraform, CloudFormation), and cloud security (VPC isolation, private endpoints, RBAC, encryption)
  • Bachelor’s degree in Computer Science, Engineering, or a related field

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