Remote MLOps Engineer

Summary

Join our team at Scout24 and be part of a diverse and inclusive group of colleagues from 58 nationalities. We're looking for someone to develop and maintain a robust MLOps infrastructure, lead the design and implementation of automated pipelines, deploy models into production environments, optimize MLOps workflows, and collaborate with Machine Learning Engineers.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Machine Learning, or related field
• Strong knowledge of MLOps best practices and workflows
• Experience with containerization technologies, such as Docker, and orchestration tools like Kubernetes
• Proficiency in building and managing CI/CD pipelines
• Experience deploying models using Flask or FastAPI
• Solid understanding of solution architecture and the ability to design scalable systems
• Ability to work closely with data scientists and machine learning engineers to develop and maintain MLOps infrastructure

Responsibilities

• Develop and maintain a robust MLOps infrastructure to support the scalable deployment and monitoring of machine learning models
• Lead the design and implementation of automated pipelines to ensure reliable and efficient model operations
• Deploy models into production environments, ensuring they are ready for integration and use
• Optimize MLOps workflows to enhance the end-to-end ML development process, ensuring reliability and scalability in production systems
• Collaborate closely with the Machine Learning Engineers to integrate machine learning models into a production environment, focusing on monitoring, performance optimization, and linking model outcomes to business KPIs