Remote Mlops Engineer – Scalable Ml Pipelines & Platforms

Arrise; Lisboa; Remote; EUR 60,000 - 95,000; Full time

Job summary

Arrise is seeking a highly capable ML Platform Engineer in Lisbon to design and operate scalable inference and serving systems for ML workloads. The role involves building automated data, training, and inference pipelines, implementing CI/CD pipelines, and monitoring deployed APIs for performance, reliability, and security.

You will create internal platforms to configure production ML systems with a strong emphasis on observability, tests, and secure container deployments.

Qualifications

• What candidates must have to design and operate scalable ML inference and serving systems.
• Experience building automated data, training, and inference pipelines.
• Proficiency implementing CI/CD pipelines and securing container deployments.
• Focus on observability, testing, and reliable, secure production platforms.

Responsibilities

• Design scalable ML inference and serving architectures.
• Build and maintain automated data, training, and inference pipelines.
• Implement CI/CD pipelines for ML workloads and monitor APIs for performance and security.
• Create internal platforms to configure production ML systems with strong observability.

Skills

ML platforms

CI/CD

Observability

Container security

Tools

Docker

Kubernetes

CI/CD

Job description

ARRISE is seeking a highly capable ML Platform Engineer to design and operate scalable inference and serving systems for ML workloads, and to build automated data, training, and inference pipelines. You will implement CI/CD pipelines, monitor deployed APIs for performance, reliability, and security, and create internal platforms to configure production ML systems. A strong emphasis on observability, tests, and secure container deployments is required.

Remote Mlops Engineer – Scalable Ml Pipelines & Platforms Lisbon, Portuguese Republic, PT