Applied ML Engineer Intern: Edge AI & CV Pipelines

Alta Ares; Paris; On-site; EUR 13,000 - 20,000; Part time

Job summary

Alta Ares is seeking a motivated Machine Learning Engineer Intern to join our Data & AI team and contribute to the development of our end-to-end ML pipelines. You will help improve how we train, evaluate and deploy computer vision models, working on internal AI infrastructure and model lifecycle management.

This internship is ideal for someone interested in applied machine learning, computer vision and MLOps, who wants hands-on experience building reliable AI systems for real-world defence

Qualifications

• Strong foundations in Python, data science and machine learning.
• Knowledge of deep learning frameworks such as PyTorch or TensorFlow.
• Ability to analyse, visualise and preprocess large-scale image and video datasets.
• Familiarity with experiment tracking tools such as MLflow or Weights & Biases, and/or data versioning tools such as DVC.
• Understanding of Docker, Git and cloud platforms such as AWS or GCP.
• Ability to work autonomously in a research and prototyping environment.
• Strong collaboration skills and an interest in working in a fast-paced, mission-driven environment.

Responsibilities

• Model training: Improve and optimise training pipelines for computer vision tasks, including object detection, segmentation and tracking.
• Model evaluation: Develop evaluation frameworks using standard metrics such as mAP, IoU, precision and recall, and automate experiment tracking.
• Data management: Build reproducible workflows for dataset versioning, augmentation and preprocessing of large-scale image and video datasets.
• Model deployment: Contribute to deployment workflows for optimised AI models running on edge devices and embedded systems.
• Monitoring and reliability: Implement tools to monitor deployed models and assess their robustness and performance.
• Documentation and collaboration: Work closely with the Data & AI team to document best practices and help build scalable ML infrastructure.

Skills

Python

Data science

Machine learning

PyTorch

TensorFlow

Autonomous work

Tools

MLflow

Weights & Biases

DVC

Docker

Git

AWS

GCP

Job description

Alta Ares is seeking a motivated Machine Learning Engineer Intern to join our Data & AI team and contribute to the development of our end-to-end ML pipelines. You will help improve how we train, evaluate and deploy computer vision models, working on internal AI infrastructure and model lifecycle management.

This internship is ideal for someone interested in applied machine learning, computer vision and MLOps, who wants hands-on experience building reliable AI systems for real-world defence