AIOps Engineer (m/f)

Description des tâches:

• Design, implement, and maintain secure, scalable systems supporting federated data and AI platforms.
• Architect and automate CI/CD pipelines for ML models and software applications, ensuring efficient training, validation, and deployment.
• Build and manage distributed model training and serving environments using cloud, HPC and container orchestration technologies.
• Develop automation and infrastructure orchestration with Terraform, Ansible, and related DevOps tooling.
• Monitor model and system performance through metrics, logs, and alerts, ensuring reliability and traceability.
• Setup lifecycle tracking and operational readiness of AI models from development through deployment and retirement.
• Maintain an inventory of all AI/ML models, including metadata such as purpose, owner, version, training data source and deployment status
• Ensure compliance, reproducibility, and governance of models and data across all lifecycle stages.
• Collaborate closely with engineering, data science, and operations teams to optimize workflows and ensure seamless delivery.
• Contribute to continuous improvement through documentation, code quality, and adoption of best practices.
• Write clean, efficient, secure and well-documented code while adhering to best practices and coding standards.
• Participate in code reviews, providing constructive feedback to ensure code quality and consistency across the development team.
• Stay current with the latest technologies, tools and trends in AI systems operations and software development, contributing to knowledge sharing within the team.

Métier / domaine de formation: Computer Science, Engineering or a related field.

Autres compétences:

• Experience with APIs and system integrations
• Knowledge of UX/UI principles and design tools
• Familiarity with CMS platforms is a plus
• Understanding of accessibility and performance standards
• Proficiency in one or more programming languages, with a strong focus on Python, PHP, and JavaScript/TypeScript
• Solid understanding of software development methodologies, design patterns, and principles
• Experience with front-end and back-end development frameworks and libraries (e.g., React, Angular, Laravel, Laminas, Django, Flask, or similar)
• Strong familiarity with database systems, including both relational (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, GraphDb)
• Experience in automating deployment processes using Ansible and CI/CD pipelines with GitHub Actions or similar tools.