Consultant MlOps - CDI - (H/F)
Core
Deploy, industrialize, and maintain Machine Learning pipelines in production, ensuring reliability, scalability, and security while collaborating with Data Science and DevOps teams.
Role type
Senior MLOps Engineer
Builds
Production ML pipelines and deployed AI models
Domain
Artificial Intelligence / Machine Learning / Cloud Infrastructure
Deliverable
production ML models
Required skills
MLOps orchestration, CI/CD for ML, model versioning, production deployment, data drift detection, security compliance, Python, SQL, containerization
Preferred skills
Gen AI deployment (LLM, RAG), advanced monitoring tools, regulated industry experience
Technologies
MLflow, Kubeflow, TFX, Airflow, Docker, Kubernetes, GCP, AWS, Azure, Vertex AI, SageMaker, Prometheus, Grafana, Vault
Responsibilities
Design and deploy MLOps pipelines for model lifecycle automation, optimize production model performance and resource consumption, implement monitoring solutions for data drift and model degradation, ensure security compliance with standards like ISO 27001 and RGPD, document processes and best practices
Seniority
Senior, hands-on IC
