DeepVolt
DeepVolt
Tunis

7 AI Engineer Intern PFE

Generative AI / AI EngineeringMachine Learning / LLMsCloud Computing (Azure / OpenShift)

Publié il y a 18 jours

Stage
⏱️4-6 mois
💼Hybride
💰Rémunéré
📅Expiré il y a 4 jours
Cohérence LinkedIn / CV vérifiée.

Description du poste

About the role

  • Position: AI Engineer Intern focused on designing and implementing an AI agent powered by Large Language Models (LLMs) and integrating it into a web application.
  • Location & Office: Hybrid (home/office) with on-site presence at El Ghazela Technopark, Tunis.

Key responsibilities

  • Develop and deploy an AI agent leveraging LLMs for real-world use cases, ensuring reliable and useful outputs.
  • Integrate the AI agent into a web application for seamless user interaction and collaborate with developers for smooth integration and scalability.
  • Utilize AWS Bedrock and Amazon SageMaker to build, train, and optimize models; implement best practices for security, performance, and reliability in cloud environments.

Candidate profile

  • Currently pursuing a degree in Computer Science, AI, or related fields and demonstrating strong foundations in AI/ML concepts and software development.
  • Proficiency in Python and familiarity with frameworks like TensorFlow or PyTorch; experience with web technologies (HTML, CSS, JavaScript, Node.js) is a plus.
  • Strong problem-solving and teamwork skills; willingness to learn MLOps and deployment best practices is a bonus.

Toolkit & technologies you will use

  • Programming & ML frameworks: Python (NumPy, Pandas, Scikit-learn), XGBoost, SciPy, TensorFlow or PyTorch.
  • LLM & Cloud: Familiarity with Large Language Models, prompt engineering; AWS services including Bedrock, SageMaker, S3, EC2, Lambda, Glue.
  • Web & deployment: HTML, CSS, JavaScript, Node.js for integration; version control with Git; data visualization with Matplotlib/Seaborn.

What we offer

  • Exposure to cutting-edge AI technologies and cloud-based solutions, plus mentorship to align your work with industry standards.
  • Flexible work environment to accommodate academic commitments and hands-on experience building intelligent systems with modern cloud tools.

How to apply

  • Apply online: https://lnkd.in/dTKNUcXe
  • Or send your application by email to contact@deepvolt.io with the subject: "Application — 7 AI Engineer Intern PFE".