Votre Mission Chez Cegedim
Join 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 Do
- Build and maintain machine learning deployment pipelines
- Automate model training, testing, and deployment workflows
- Implement CI/CD practices for machine learning applications
- Monitor model performance, reliability, and data drift in production
- Manage cloud infrastructure supporting AI workloads
- Improve observability, governance, and reproducibility of ML systems
- Collaborate with AI Engineers, Software Engineers, and mentors throughout the project lifecycle
- Learn industry best practices for operating machine learning systems
What We're Looking For
Currently pursuing or recently completed (2025 or 2026) a degree in:
- Computer Science
- Computer Engineering
- Artificial Intelligence
- Data Science or related fields
Technical Skills
- Strong programming skills in Python
- Understanding of software engineering and DevOps fundamentals
- Familiarity with Docker and containerization concepts
- Knowledge of CI/CD pipelines and version control systems
- Interest in cloud computing and machine learning operations
- Familiarity with Kubernetes, MLflow, Airflow, GitHub Actions, GitLab CI, AWS, Azure, or GCP is a plus
Soft Skills
- Strong teamwork, communication, and problem-solving skills
- Curiosity, initiative, and a willingness to learn
- Ability to work in a collaborative environment
Why Join Us
- Work on real-world AI infrastructure and deployment challenges
- Receive mentorship from experienced professionals
- Gain practical experience with modern MLOps tools and cloud platforms
- Collaborate in a supportive and innovative environment
- Build skills that prepare you for a career in MLOps and Cloud Engineering
