Data Engineer Senior
Data Engineer Senior
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Job Description
We are looking for a highly skilled professional to lead the industrialisation of AI use cases managing their lifecycle in production and ensuring robustness traceability and compliance with the highest standards of quality and security.
You will work closely with data science data engineering cybersecurity compliance and IT operations teams to deliver reliable scalable and secure AI services.
Responsibilities:
Industrialisation and Deployment
- Analyse monitor and optimise ML models tracking their performance.
- Design and implement CI/CD pipelines for ML models and data flows.
- Containerise and deploy models via APIs batch processes and streaming.
- Manage model versioning and traceability.
- Ensure continuous improvement and adaptation of AI use cases and ML models.
Operations and Observability
- Set up monitoring and alerting for model performance.
- Establish incident response protocols in collaboration with IT.
- Maintain dashboards and automated reports on model health.
Quality Assurance
- Implement validation frameworks for data and models (e.g. Great Expectations unit tests stress tests) in collaboration with Group Governance.
- Contribute to documentation and apply technical best practices.
- Ensure full traceability auditability and explainability of models in production.
Security and Compliance
- Apply security-by-design principles: IAM policies encryption secure APIs.
- Align with regulatory standards (e.g. GDPR DORA AI Act).
- Collaborate with cybersecurity and risk teams to validate and monitor AI implementation.
Qualifications :
Required
- Minimum of 5 years experience in MLOps data engineering or DevOps with a focus on ML/DL/LLM/AI agents in production environments.
- Strong proficiency in Python.
- Hands-on experience with CI/CD tools such as GitLab Docker Kubernetes Jenkins.
- Solid understanding of ML DL and LLM models.
- Experience with ML lifecycle tools such as MLflow or DVC.
- Good understanding of model lifecycle data traceability and governance frameworks.
- Experience with on-premise and hybrid infrastructures.
- Excellent communication skills and ability to collaborate with remote teams.
- Proactive mindset technical rigour and engineering mentality.
- Willingness to learn document and standardise best practices.
- Innovative mindset and ability to drive change.
- English proficiency at C1 level.
Desirable
- Knowledge of Bash / YAML / SQL.
- Experience in developing and deploying agentic tools.
- Experience working with security teams or implementing IAM policies and data protection.
- French proficiency at B2 level.
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
