MLOps (Machine Learning Operations) Engineer

We are looking for an MLOps Engineer to join our Data Science and Insights Team. The successful candidate will help transform experimental models into reliable, production-ready infrastructure solutions, and contribute to establishing the MLOps foundation that enables our Data Scientists and Analysts to move from proof-of-concept to production.

Requirements

• Support the operationalization of ML models
• Contribute to designing and implementing CI/CD pipelines for ML model deployment
• Assist in creating frameworks for ML lifecycle management
• Design and implement data pipelines (ETL/ELT) that support ML model training and analytics use cases
• Implement data validation frameworks, quality checks, and monitoring systems
• Collaborate with Data Scientists and Analytics to understand model requirements and contribute to scalable deployment solutions and infrastructure optimization
• Work with the Data Engineering team and Analytics Engineers to leverage existing data architecture and integration patterns
• Build reusable data transformation components
• Create technical documentation for MLOps processes, deployment procedures, and data pipelines
• Help identify and resolve bottlenecks in ML and data pipelines

Benefits

• Flexible working conditions
• Life and accident insurance
• Health insurance at a competitive price
• Investment in your learning and development
• Gym membership discounts