MLOps Engineer

QualityMinds is seeking a skilled MLOps Engineer to join our team and help design, build, and maintain scalable infrastructure for machine learning models. You will work closely with data scientists to automate pipelines and ensure the reliability of our systems in a fully remote environment.

Key responsibilities

• Deploy and maintain machine learning models on Kubernetes clusters.
• Design and maintain scalable infrastructure for training, testing, and monitoring ML models.
• Automate ML pipelines including data preprocessing, training, validation, and deployment.
• Implement CI/CD, infrastructure as code, and DevOps best practices in ML environments.
• Ensure observability and reliability of deployed models through logging, metrics, and alerts.

Requirements

• 5+ years of hands-on experience in MLOps or ML Engineering.
• Proven experience in deploying machine learning models on Kubernetes.
• Strong understanding of cloud-native platform architecture and distributed systems design.
• Proficiency with monitoring and observability tools like Prometheus, Grafana, or the ELK stack.
• Ability to design and implement applications using Python, C++, Java, R, JavaScript, or C#.
• Fluent in spoken and written English (minimum B2 level).

What we offer

• Flexible working schedule.
• Comprehensive medical care packages.
• Access to MyBenefit or Pyszne.pl platforms.
• Extensive self-development opportunities, including internal and external trainings.
• Support for professional certifications and language development with native speakers.
• Opportunity to work in international teams on diverse projects.