Remote MLOps Engineer – Scalable ML Pipelines & Platforms

Arrise; Portugal; Remote; EUR 50,000 - 75,000; Full time

Job summary

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.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or related field.
• Proficient 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, dependency tracking.
• Expertise in containerization using Docker for scalable and maintainable system deployments.
• Experience with monitoring, logging, and alerting for ML systems and infrastructure.
• Knowledge of general Machine Learning concepts and algorithms.
• Proven experience deploying and managing ML models in production environments.
• Knowledge of data modelling, ETL processes, and database systems (SQL and NoSQL)

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 to ensure performance, reliability, and security.
• Create and manage internal platforms to configure and manage ML systems in production.
• Develop observability dashboards and alerting systems for model and infrastructure health.
• Implement unit and integration tests for ML code, pipelines, and deployment workflows.
• Follow security best practices in containerized deployments and data handling.

Skills

Python

Software architecture

CI/CD concepts

Monitoring/observability

ML concepts

Production deployment

Education

Bachelor's or Master’s degree in Computer Science, Engineering, or related field

Tools

Azure

Docker

Git

SQL/NoSQL databases

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.