MLOps Engineer job opportunity at Qualco Group.

Home Jobs In Greece Tag: Job MLOps Engineer position at Qualco Group


Date2026-02-02T13:31:36.556Z bot
Qualco Group MLOps Engineer
Experience: 5-years
Pattern: full-time
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loacation Athens, Greece
loacation Athens....Greece

At Quento Technologies S.A., 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 S.A. 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. If you’re a seasoned DevOps professional eager to dive into AI , this is your opportunity to make the leap. 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. If you’ve mastered CI/CD in DevOps, this is your chance to apply those skills to machine learning. Monitoring & Reliability Implement monitoring solutions for model performance, data drift, and system health. Establish alerting and rollback mechanisms for production ML systems. Your DevOps experience with observability tools will shine here. 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. Education : Bachelor’s or Master’s in Computer Science, Data Science, AI/ML, or related field (or equivalent experience). Technical Skills : Strong proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn). Experience with containerization and orchestration (Docker, Kubernetes). Hands-on with cloud platforms (AWS, Azure, GCP) and their ML services. Familiarity with CI/CD tools (GitHub Actions, Jenkins, GitLab CI). Knowledge of data versioning & workflow orchestration tools (MLflow, DVC, Airflow, Kubeflow). Experience : 2–5 years in MLOps, DevOps, or ML engineering roles. Deploying ML models at scale in production environments. Candidates with strong DevOps background and mentality, that have started exploring the MLOps world will also be seriously considered. If you have a strong DevOps background and are eager to dive into the world of machine learning, we’ll support your transition. Your skills in automation, infrastructure, and monitoring are exactly what we need. Soft Skills Strong problem-solving and debugging skills. Ability to communicate complex technical concepts to both technical and non-technical stakeholders. Ability to perform market researches on MLOps platforms, consult on selection of appropriate tools and defend the selection through presentations in technical or non-technical audiences Collaborative mindset with a focus on cross-team alignment. Continuous learner, staying up to date with the latest in ML, DevOps, and cloud technologies.

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