DevSecOps Expert in AI

For one of theEU institutions we are looking for aDevSecOps Expert in AI. This is a unique opportunity to be part of an exciting initiative in cutting edge technologies that brings about institutional transformation, by driving innovation and collaboration across networks.

Offer:

• B2B contract
• Remote + 1 trip per month to Luxembourg (negotiable)
• Rate: 530-570 EUR/MD

Tasks

• Design and maintain AI infrastructure: Set up, configure and manage cloud, on-premises or hybrid environments needed for AI development, training and inference, including compute, storage, networking and GPU resources.
• Automate deployment pipelines: Build and maintain CI/CD and MLOps pipelines for code, data workflows, model training, testing, validation and deployment.
• Manage containerisation and orchestration: Use tools such as Docker and Kubernetes to package, deploy and scale AI applications and services reliably across environments.
• Support model operationalisation: Enable the transition of machine learning models from development to production, ensuring reproducibility, versioning, traceability and controlled releases.
• Monitor systems and model services: Implement monitoring, logging, alerting and performance tracking for infrastructure, applications and AI model endpoints, including availability, latency, resource usage and failures.
• Ensure reliability, scalability and performance: Optimise infrastructure and deployment processes so AI services can scale efficiently and remain stable under changing workloads.
• Implement security and compliance controls: Apply security best practices for infrastructure, access management, secrets handling, software dependencies, data protection and regulatory compliance.
• Manage environments and configuration: Standardise development, test and production environments using Infrastructure as Code and configuration management tools to ensure consistency and reproducibility.
• Collaborate across teams: Work closely with data scientists, AI engineers, software developers, cybersecurity specialists and business teams to support delivery of AI solutions.
• Support data and model lifecycle governance: Contribute to processes for artefact versioning, auditability, lineage, backup, recovery and lifecycle management of datasets and models.
• Troubleshoot and improve operations: Investigate incidents, deployment issues and performance bottlenecks, and continuously improve automation, resilience and operational efficiency.

Skills

• Master’s degree (IT related)
• Expertise in DevOps practices and CI/CD pipeline design
• Very good knowledge of containerisation andorchestration principles
• Very good knowledge ofAI/ML technologies
• Ability to follow the fast pace of emerging technologies and solutions esp. in the gen AI domain
• Strong analysis and problem-solving skills
• Capability to write clear and structured technical documents
• Good communication skills with technical and non-technical audiences
• Ability to give business and technical presentations
• Ability to participate and lead technical meetings.

Specific expertise

• Experience withGitLab andCI/CD pipelines
• Expertise inDocker andKubernetes for container orchestration
• Good knowledge of Data Science and Machine Learning principles andAI frameworks such as Haystack, Langchain, etc.
• Experience with cloud services like AWS or Azure, to support data-driven insights with dev-ops practices
• Proficiency in using Terraform for IaC
• Proficiency in programming languages such as Python, along with experience in using development tools like GIT, GitLab, Jira, Confluence, etc.;
• Proficiency of software development best practices and integration of automated security testing throughout the entire development life cycle
• Familiarity monitoring and observability in CI/CD, included structured logging, metrics collection (e.g.: Prometheus, Grafana)
• Familiarity with database management systems (PostgreSQL, etc.) and search engines (Elastic Search, etc.)