Votre Mission Chez CegedimJoin us in building the infrastructure that powers next-generation AI solutions.At Cegedim Academy, we're looking for passionate MLOps Engineering Interns to work alongside experienced mentors and talented peers on real-world AI and machine learning platforms. As part of the internship, you'll contribute to building scalable, reliable, and production-ready systems that support the deployment and operation of AI solutions.This is a hybrid, fast-paced environment where innovation, collaboration, and continuous learning are encouraged. You'll gain hands-on experience with modern cloud and MLOps technologies while helping deliver AI systems at scale.What You'll DoBuild and maintain machine learning deployment pipelinesAutomate model training, testing, and deployment workflowsImplement CI/CD practices for machine learning applicationsMonitor model performance, reliability, and data drift in productionManage cloud infrastructure supporting AI workloadsImprove observability, governance, and reproducibility of ML systemsCollaborate with AI Engineers, Software Engineers, and mentors throughout the project lifecycleLearn industry best practices for operating machine learning systemsWhat We're Looking ForCurrently pursuing or recently completed (2025 or 2026) a degree in:Computer ScienceComputer EngineeringArtificial IntelligenceData Science or related fieldsTechnical SkillsStrong programming skills in PythonUnderstanding of software engineering and DevOps fundamentalsFamiliarity with Docker and containerization conceptsKnowledge of CI/CD pipelines and version control systemsInterest in cloud computing and machine learning operationsFamiliarity with Kubernetes, MLflow, Airflow, GitHub Actions, GitLab CI, AWS, Azure, or GCP is a plusSoft SkillsStrong teamwork, communication, and problem-solving skillsCuriosity, initiative, and a willingness to learnAbility to work in a collaborative environmentWhy Join Us?Work on real-world AI infrastructure and deployment challengesReceive mentorship from experienced professionalsGain practical experience with modern MLOps tools and cloud platformsCollaborate in a supportive and innovative environmentBuild skills that prepare you for a career in MLOps and Cloud Engineering