Data Engineer Senior
Core
Lead the industrialisation of AI use cases, managing their lifecycle in production to ensure robustness, traceability, and compliance.
Role type
Senior MLOps Data Engineer
Builds
Reliable, scalable, and secure AI services and ML models in production
Domain
Artificial Intelligence / Machine Learning Operations / Cloud Infrastructure
Deliverable
production ML models
Required skills
Python, CI/CD pipeline design, containerization (Docker, Kubernetes), ML lifecycle management (MLflow, DVC), model monitoring and observability, security-by-design implementation, data governance frameworks, on-premise and hybrid infrastructure management
Preferred skills
Bash, YAML, SQL, agentic tools development, IAM policy implementation, data protection strategies
Technologies
GitLab, Docker, Kubernetes, Jenkins, MLflow, DVC, Great Expectations
Responsibilities
Design and implement CI/CD pipelines for ML models and data flows; Containerise and deploy models via APIs, batch processes, and streaming; Set up monitoring and alerting for model performance; Implement validation frameworks for data and models; Apply security-by-design principles including IAM policies and encryption; Align with regulatory standards (GDPR, DORA, AI Act)
Seniority
Senior, hands-on IC