MLOps Engineer
At Quento, the ICT arm of the Qualco Group, we deliver comprehensive and innovative solutions across AI, Digital Engineering, Cloud, and Cybersecurity, helping businesses accelerate digital transformation. With a presence in Greece, Luxembourg, and Belgium, and backed by the expertise of the Qualco Group, we combine deep technical knowledge with strategic partnerships to support business growth.
Quento Technologies seeks a highly skilled MLOps Engineer to join our team in large and medium scale AI projects for our customers. The ideal candidate will be responsible for designing, building, and maintaining the infrastructure, pipelines, and tooling necessary to deploy, monitor, and scale machine learning (ML) models in production, ensuring that ML solutions are robust and efficient.
Your responsibilities will entail:
- Model Deployment & Automation
- Build and manage CI/CD pipelines for machine learning models.
- Automate model training, testing, and deployment workflows.
- Infrastructure & Scalability
- Design and maintain scalable infrastructure for ML workloads (cloud, on-prem, or hybrid).
- Optimize resource utilization across GPUs/CPUs for inference and training.
- Monitoring & Reliability
- Implement monitoring solutions for model performance, data drift, and system health.
- Establish alerting and rollback mechanisms for production ML systems.
- Collaboration
- Work closely with ML engineers to operationalize ML models.
- Partner with DevOps and software engineering teams to align ML infrastructure with enterprise standards.
- Governance & Compliance
- Ensure reproducibility, versioning, and traceability of models and datasets.
- Support compliance with data protection and security regulations.