Final-year internship in Data Science

Job description

This final-year project at Inetum combines two topics: training artificial intelligence models, including generative AI, and setting up a DevOps platform.

On the AI side, you study the models that fit the need, prepare and clean the datasets, take part in training, fine-tuning and evaluating the models, then build scripts and APIs to use them.

On the DevOps side, you set up a CI/CD pipeline to automate tests and deployments, containerise the applications with Docker and help automate environments. Python, machine learning, Git and Docker are expected.

What you'll do

• Train an artificial intelligence and generative AI model, and set up a DevOps platform
• Study the AI and generative AI models that fit the need
• Prepare, clean and structure the datasets needed for training
• Take part in training, fine-tuning and evaluating the models
• Develop scripts and APIs to use the trained models
• Set up a CI/CD pipeline to automate tests and deployments
• Containerise the applications and models with Docker
• Help set up a DevOps infrastructure and automate environments
• Implement performance tracking, versioning and monitoring of the models
• Document the work done and suggest improvements

Who they're looking for

• Final-year student at an engineering school or in a specialised Master's in computer science, artificial intelligence, Data Science or DevOps
• Good Python programming skills
• Knowledge of Machine Learning, Deep Learning and generative AI
• Basics of data processing and preparation
• Knowledge of DevOps tools: Git, Docker and CI/CD pipelines
• Knowledge of Kubernetes, MLflow, Jenkins, GitLab CI/CD or cloud platforms is a plus
• Basics of REST APIs and back-end development
• Analytical mind, rigour, independence and problem-solving
• Technical curiosity, team spirit and initiative