Offre d'emploi MLOps Engineer

In this role, you will design, build and operate secure AI and machine learning platforms within highly controlled environments. You will take ownership of developing the infrastructure and automation required to deploy, monitor and scale models in production, including large language models and other advanced AI systems. Working closely with multidisciplinary teams, you will contribute to delivering resilient, high-performance platforms that enable critical decision-making and operational effectiveness.



You will play a key role in shaping how AI is operationalised in air-gapped environments, bringing innovative approaches to platform engineering while being supported by experienced colleagues and a collaborative culture focused on continuous improvement.



• Design & Deliver secure, scalable MLOps platforms for production environments



• Build & Optimise air-gapped machine learning pipelines and workflows



• Deploy & Manage LLM inference clusters and AI model hosting platforms



• Implement & Enhance model lifecycle processes, including monitoring and retraining



• Develop & Automate infrastructure using DevSecOps principles and tooling



• Monitor & Improve system performance using observability tools and best practices



• Collaborate & Innovate with cross-functional teams to deliver mission-critical solutions

Required qualifications to be successful in this role

You should have experience building and operating production-grade machine learning platforms, with strong technical skills across software development, infrastructure, and cloud-native tooling. A solid understanding of Linux environments and modern MLOps practices is essential, along with the ability to work effectively in secure, constrained environments.



• You should have experience developing in Python for data or platform engineering



• Strong proficiency in Linux systems and command-line environments



• Experience with MLOps tools such as MLflow, Kubeflow or Airflow



• Familiarity with monitoring tools such as Prometheus or Grafana



• Experience with containerisation and orchestration (Docker, Kubernetes, Terraform)



• Understanding of CI/CD pipelines and DevSecOps practices



• Experience with platforms such as VMware, OpenShift or OpenStack (desirable)



• Exposure to AI/ML workloads, GPU environments, or secure/air-gapped systems (advantageous)





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Together, as owners, let’s turn meaningful insights into action.



Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you’ll reach your full potential because…



You are invited to be an owner from day 1 as we work together to bring our Dream to life. That’s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company’s strategy and direction.



Your work creates value. You’ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise.



You’ll shape your career by joining a company built to grow and last. You’ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.



Come join our team—one of the largest IT and business consulting services firms in the world.