Chef de projet Intégration, DevOps & ML Engineer Cloud (AWS / Azure)

Job summary

The role focuses on industrializing, securing, and evolving two machine learning use cases in production, working across business, data science, infrastructure, and operations teams. Responsibilities span Azure MLOps pipelines and blue/green deployments, AWS serverless data processing and generative AI services, and infrastructure automation with Terraform, CI/CD, monitoring, and model-drift detection across cloud environments.

Qualifications

• Confirmed experience in cloud engineering, DevOps, or MLOps.
• Hands-on experience productionizing machine learning models.
• Working knowledge of cloud environments, particularly AWS and/or Azure.
• Ability to design and operate data pipelines and serverless architectures.
• Proficiency in automation, deployment, and monitoring practices.
• Ability to collaborate with technical stakeholders and data science teams.
• Autonomy, rigor, analytical thinking, and results orientation.

Responsibilities

• Analyze large-scale industrial data.
• Design, develop, and maintain spatiotemporal matching algorithms.
• Build and operate serverless processing and automated document-generation workflows.
• Develop and maintain automated model training and evaluation pipelines.
• Deploy production models, including with blue/green strategies.
• Monitor model performance and detect model drift.
• Automate cloud deployments and infrastructure operations using DevOps and Infrastructure as Code practices.
• Improve the reliability, security, and availability of production machine learning solutions.
• Contribute to generative AI and LLM service integration.
• Coordinate work across data science, infrastructure, and operations teams.

Skills

Industry

Contract length

Relocation