Tech MLOps Engineer Remote, Portugal 4d ago

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

• 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.

What you bring

• Bachelor's or Master's degree in Computer Science, Engineering, or a 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)

About us

ARRISE is a global leader in software development and services for the iGaming industry, bringing together more than 2,500 professionals operating across more than 12 locations worldwide.

From concept through to delivery, we combine technical expertise, creativity and industry knowledge to develop products, platforms and services that shape player experiences and support some of the industry's leading brands.

We are best known for the work we deliver for Pragmatic Play, creating and supporting technology, products and specialists services enjoyed by millions of players worldwide.

ARRISE is the company behind the games, the presenters, the studios and the platform 2,500+ people across 12 countries build and run the live entertainment that millions of players see every day.

We hire people to own their work. If you need a brief for every decision, this will not suit you. If you want the room to make the call and the accountability that comes with it, it will.

Frequently asked questions

Where is this role based?

This role is based in Remote, Portugal and follows a remote working pattern.

The working language for this role is English.

Can I ask for an adjustment during the hiring process?

Yes. If you need an adjustment at any stage of the process, tell your recruiter and we will arrange it.

Are there other open roles at ARRISE?

Yes. You can search every open role by team, location and working pattern on our careers page.

ARRISE is an equal opportunity employer. We consider every applicant on merit, regardless of age, disability, gender identity, marital status, pregnancy, race, religion, sex or sexual orientation. If you need an adjustment at any stage of the process, tell your recruiter and we will arrange it.

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