About the Company

Atlys is on a mission to enable every person on earth to travel freely. The company is focused on simplifying global travel by eliminating one of the biggest pain points—visa processing. By leveraging cutting-edge technology and automation, Atlys aims to create a more open and accessible world. The team is driven by innovation, curiosity, and a strong desire to solve real-world problems at scale.

Introduction

Atlys is looking for a passionate and driven Machine Learning Intern to join its team. This role provides an opportunity to work on real-world AI problems, specifically in image quality detection and structured data extraction. As an intern, you will gain hands-on experience in building, training, and optimizing machine learning models while contributing directly to production-level systems.

Key Responsibilities

Model Development & Experimentation

Train and fine-tune machine learning models for image quality detection and enhancement tasks.
Experiment with different model architectures and approaches to improve performance.
Track experimental results, analyze outcomes, and document findings clearly.

Data Preparation & Processing

Prepare, clean, and validate labeled datasets for structured data extraction tasks.
Ensure high-quality data inputs to improve model accuracy and reliability.
Work on extracting structured fields such as names, dates, and numerical data from images or documents.

Automation & Optimization

Develop scripts to automate repetitive data processing and model training workflows.
Improve efficiency by optimizing data pipelines and reducing manual effort.
Enhance model performance through better data handling and training techniques.

Documentation & Collaboration

Maintain clear documentation of model training procedures, experiments, and results.
Collaborate with team members to share insights and improve overall model quality.
Contribute to discussions on improving workflows and machine learning strategies.

Required Qualifications

Strong proficiency in Python with the ability to write clean and efficient scripts.
Hands-on experience with machine learning frameworks such as PyTorch or TensorFlow.
Basic understanding of computer vision concepts, including image processing and augmentation.
Familiarity with common architectures such as ResNet, U-Net, or YOLO.
Strong attention to detail, especially when working with data and model outputs.
Ability to work independently and manage tasks effectively in a fast-paced environment.

Preferred Qualifications

Experience with Hugging Face Transformers and model hubs.
Familiarity with LLM/VLM concepts and fine-tuning techniques such as LoRA or QLoRA.
Prior experience working on machine learning projects, competitions, or research.
Interest in computer vision and data-driven problem solving.

Why Join Us / Benefits

Hands-on experience working on real-world AI and machine learning problems.
Opportunity to contribute directly to production systems and impactful features.
Exposure to modern machine learning tools, workflows, and experimentation techniques.
Collaborative and fast-paced work environment with a strong focus on innovation.
Opportunity to build a strong portfolio with meaningful project contributions.