MLOps Engineering Intern

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