1 day ago
Paris, FranceSenior
Responsibilities
- Design and industrialize end-to-end MLOps pipelines.
- Automate training, validation, deployment, and continuous training workflows.
- Deploy and operate machine learning models in production.
- Manage model lifecycles using MLflow, Model Registry, and associated tools.
- Build and maintain infrastructure for machine learning and GPU workloads.
- Deploy and administer containerized environments with Docker and Kubernetes.
- Automate infrastructure provisioning with Terraform.
- Implement CI/CD pipelines dedicated to machine learning workloads.
- Monitor models, detect drift, and improve platform observability.
- Optimize the performance, scalability, and cost of ML infrastructure.
- Support Data Scientists and ML Engineers with model industrialization.
- Contribute to documentation, best practices, and continuous platform improvement.
Requirements
- At least 3 years of experience in MLOps, ML Platform Engineering, or DevOps applied to machine learning.
- Demonstrated experience putting machine learning models into production.
- Very strong proficiency in Python.
- Solid cloud experience with AWS and/or GCP.
- Strong knowledge of Terraform, Docker, and Kubernetes.
- Experience with MLflow and model lifecycle management.
- Good understanding of monitoring, performance, and scalability for production models.
- Experience with Databricks, Airflow, Feature Store, or GPU infrastructure is an advantage.
- Professional English is required.
Benefits
- Long-term consulting mission of more than six months.
- Start date as soon as possible.
- Location in Paris or Lille.
- Open to all genders and to people with disabilities.
- Consulting position with one of the company's clients.
Tech Stack
Categories
About Everience
Everience Italia provides IT managed services, including helpdesk support, break-fix dispatch, and technology consulting for SMEs and enterprises. Founded in 2012 and headquartered in Rho, Lombardy, it operates within an international group under the Everience brand and offers multilingual nearshore support from Timisoara, Romania. Revenue comes from managed service contracts and project-based support across Italy and abroad.