ML Engineer - Internship

The role

You will help improve how the company trains, evaluates and deploys computer vision models. You will work on internal AI infrastructure and model lifecycle management.

What you will do

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

Required 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.

About the company

Alta Ares is an air defense Neoprime that builds AI-guided interceptors to counter drones and cruise missiles. Founded in 2024, the company has 90 people and has raised over $60M.