CEGEDIM
AI

MLOps Engineering Intern

CEGEDIM · القاهرة, C, EG

Actively hiring Posted 10 days ago
  • Stage, 1-2 mois
  • Temps plein
  • Moins de 2 ans d’expérience
  • BUT, Licence, Bac+3
  • Informatique / Systèmes d’information

Contexte

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

Words from our recruiter

BigData, Fullstack JS, NoSQL, ElasticSearch, Agile, SaaS ... do these concepts, methods and technologies speak to you? You want to practice them in a team of passionate people, whose objective is to put new technologies at the service of high value solutions that are both powerful and easy to use. Within a leading company in the health and insurance sectors, our teams develop SaaS software in web and mobile mode around topics related to the collection and analysis of health data, the detection of fraud , the observance of good practices ... for our subsidiaries in France and abroad. Like us, you are curious, dynamic, committed, you like to work in a team, your job is one of your passions, so come and join the research and development department of the Cegedim Group.

Philippe Hamon

Senior VP R&D Group

Localisation

EmplacementAdresse

81 N Teseen St, Cairo, Égypte

Tags & focus areas

Used for matching and alerts on DevFound
Internship Ai Machine Learning Mlops

Next step

Ready to Join the Team?

Apply once with DevFound. We'll route your profile to CEGEDIM and keep you informed when matching AI roles go live.

  • Single profile, multiple curated AI opportunities
  • No spam roles — only vetted AI positions
  • You choose which roles to apply to
Sign up to apply

No CV uploads. We never share your profile without your consent.

Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.