MLOps Engineer

Arrise
Portugal
Workplace: RemoteFull timeFunction: DevOps, Cloud & InfrastructureSkills: []

Design and operate scalable inference and serving systems for ML workloads. Build and maintain automated data, training, and inference pipelines, and create CI/CD pipelines for testing, validation, and deployment. Monitor deployed APIs for performance, reliability, and security, and develop internal platforms for managing ML systems in production. Implement unit and integration tests and observability dashboards to keep model and infrastructure health stable and secure.

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FursaFursa
Arrise
Arrise
3 weeks ago

MLOps Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 6 hours agoStatus: Live

Job Summary

Design and operate scalable inference and serving systems for ML workloads. Build and maintain automated data, training, and inference pipelines, and create CI/CD pipelines for testing, validation, and deployment. Monitor deployed APIs for performance, reliability, and security, and develop internal platforms for managing ML systems in production. Implement unit and integration tests and observability dashboards to keep model and infrastructure health stable and secure.
Location: Portugal
Workplace: Remote
Employment Type: Full time
Job Function: DevOps, Cloud & Infrastructure

Key Responsibilities

  • •Design and operate scalable inference and serving systems for ML workloads.
  • •Design and maintain automated data, training, and inference pipelines.
  • •Build and manage CI/CD pipelines for application testing, validation, and deployment.
  • •Monitor and maintain deployed APIs for performance, reliability, and security.
  • •Develop observability dashboards and alerting systems for model and infrastructure health.

Key Requirements

  • •Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • •Proficiency in Python with strong software architecture and development skills.
  • •Expertise in cloud platforms, preferably Azure, for architecting scalable and reliable ML systems.
  • •Strong knowledge of version control systems, package management, and dependency tracking.
  • •Expertise in containerization using Docker for scalable and maintainable deployments.
Tech Stack:PythonAzureDockerCI/CDSQLNoSQL

Company Brief

Arrise
Arrise provides a cloud platform that helps property owners, facilities teams and compliance managers centralize building safety, maintenance and regulatory documentation, automate inspections and workflows, and streamline reporting to reduce risk and ensure operational compliance.
Industry: Facility Management
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