Senior Machine Learning Engineer / MLOps Engineer
Core
Design, industrialize, and maintain large-scale AI platforms for deploying Machine Learning models.
Role type
Senior Machine Learning Engineer / MLOps Engineer
Builds
Robust and scalable MLOps platforms, industrialized ML pipelines, and dedicated Cloud architectures for AI applications.
Domain
Cloud infrastructure and Machine Learning Operations
Deliverable
production ML models
Required skills
Machine Learning Engineering, MLOps, Cloud architecture design, Containerization and orchestration, CI/CD pipeline management, Full ML lifecycle management
Preferred skills
None stated
Technologies
Python, SQL, Spark, Databricks, MLflow, Docker, Kubernetes, Terraform, Airflow, GitHub Actions, GitLab CI, Jenkins, AWS, Azure, GCP, Feature Store, Model Registry
Responsibilities
Design and develop industrialized Machine Learning pipelines, Automate model training, validation, and deployment processes, Implement model monitoring and data quality solutions, Optimize processing performance and costs, Ensure experiment reproducibility, Deploy CI/CD solutions adapted to Data projects
Seniority
Senior, hands-on IC