About the job
Satori Analytics builds data-driven AI solutions for clients in sectors such as fintech, airlines, FMCG, retail, manufacturing, and financial services. Headquartered in Athens, the company has a team of over 100 specialists, including Data Engineers and Data Scientists, who focus on delivering analytics that clarify business decisions. As a scale-up, Satori Analytics continues to grow its presence across South-Eastern Europe and beyond.
Role overview
The Senior MLOps Engineer will design and maintain the infrastructure required to bring machine learning models into production. This role ensures that models transition smoothly from experimentation to real-world deployment, supporting the reliability and scalability of AI solutions.
Key responsibilities
- Develop and maintain infrastructure for deploying machine learning models at production scale, ensuring reliability and scalability.
- Build automated, reproducible ML pipelines for training, evaluation, deployment, and retraining, with strong version control practices.
- Package and serve models as production services across cloud, on-premise, or hybrid environments, focusing on performance and reliability.
- Monitor model performance, data drift, system health, and production signals to support retraining and troubleshooting.
- Collaborate with Data Scientists, AI Engineers, and Software Engineers to improve model testing, deployment, and maintenance processes.
- Contribute to standards for CI/CD, model registry, observability, security, and governance across ML projects.
- Support deployment and optimization of large language model (LLM) systems, including inference services and GPU resource management.
- Maintain strong access control, data governance, and operational resilience within ML deployments.
Location
This position is based in Athens, Attica, Greece.
