MLOps Engineer
Pragmatic Play4 months ago
Remote, PortugalSenior
Responsibilities
- Design and operate scalable inference and serving systems for machine learning 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.
- Create and manage internal platforms for configuring and managing 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.
- Apply security best practices to containerized deployments and data handling.
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 scalable and reliable ML systems.
- Strong knowledge of version control systems, package management, and dependency tracking.
- Expertise in Docker-based containerization.
- 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 modeling, ETL processes, and SQL and NoSQL database systems.
About Pragmatic Play
Pragmatic Play builds and licenses online gaming content for B2B operators, offering slots, live casino, bingo, virtual sports, and sportsbook via a single API. Its games are certified for numerous regulated markets and distributed to online casinos and sportsbooks worldwide. Founded in 2015 and headquartered in Gibraltar, the company focuses on multi-product delivery and compliance across jurisdictions.