AIOps Engineer (m/f)

Description:

Luxembourg House of Cybersecurity g.i.e. established in 2010 under the patronage of the Ministry of Economy, in partnership with SIGI and SYVICOL is strengthening its high performing team.
We are building a next-generation testing and experimentation AIOps platform, combining high-performance distributed training, scalable ML workflows, and robust production deployment practices. This role is central to enabling end-to-end AI ops lifecycle automation and performance optimization across hybrid HPC and cloud infrastructures. As a AIOps Engineer, you will design, build, and operate large-scale ML/AI operations pipelines on HPC and hybrid infrastructures. You will collaborate with data scientists, engineers, and cloud specialists to ensure scalable, reliable and automated machine learning workflows, from training to deployment and monitoring.

AIOps Engineer (m/f/d) on a full-time basis to join our team.

Mission and role

Your key responsibilities will include:

• 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.

Profile and Requirements:

• Degree in Computer Science, Engineering or a related field, or equivalent professional experience.
• Proficiency in one or more programming languages, with a strong focus on Python. Familiarity with containerization technologies, such as Docker and Vagrant.
• Solid understanding of software development methodologies, design patterns, and principles.
• Experience working with AI/ML models (Agentic AI and LLMs are a plus), MLOps platforms and data governance frameworks
• Strong understanding of the AI system lifecycle and model management concepts as well as the AI model documentation, versioning and validation processes.
• Experience in inventory and asset management, AI/ML lifecycle management, documentation and process design, automating deployment processes using Ansible and CI/CD pipelines with GitHub Actions or similar tools.
• Fluency in English and French, both spoken and written, German and Luxembourgish are a plus.
• Ability to work effectively both independently and as part of a team in a fast-paced environment.

Considered as an Advantage:

• Good understanding of a secure software development lifecycle and open source development experience.
• Experience with handling regulatory requirements.
• Experience in application security testing and automation testing.
• Excellent problem-solving skills and keen attention to detail.
• Strong cross-functional communication skills, with the ability to convey technical concepts effectively to diverse audiences.

If you are interested in this profile and you meet the above qualifications, please submit your resume and cover
letter highlighting your relevant experience and certifications to hr@lhc.lu specifying the job reference ‘AI-Asset-Manager_LCF_2026'.

EU citzenship required