AI engineering intern

Job Title: AI Engineering Intern

Location:

Duration:

Stipend:

About Camarin AI

Camarin AI is an early-stage, funded startup building AI-first solutions for fashion e-commerce. Our products focus on improving conversion, personalization, and operational efficiency through applied machine learning and computer vision systems.

image segmentation, virtual try-on pipelines, attribute extraction, and vision-driven recommendation systems

Internship Overview

AI Engineering Intern

You will work closely with senior engineers on developing end-to-end pipelines and model lifecycle management.

Key Responsibilities

• Assist in building and training

  vision-based models

  for fashion-tech use cases.
• Work with image datasets: cleaning, preprocessing, augmentation, and validation.
• Contribute to

  end-to-end ML pipeline development

  , from training to deployment.
• Integrate models into inference services and internal tooling.
• Containerize training and inference workflows using

  Docker

  .
• Maintain clear documentation for experiments, pipelines, and results.

Key Requirements

• Strong fundamentals in

  machine learning, deep learning and computer vision

  .
• Proficiency in

  Python

  and common ML/CV libraries.
• Hands-on experience with

  PyTorch or TensorFlow

  .
• Understanding of image preprocessing and data handling for vision tasks.
• Familiarity with

  ML experiment tracking and orchestration tools

  such as W&B, MLFlow, AirFlow etc.
• Exposure to

  end-to-end ML pipeline deployment

  and basic

  CI/CD concepts

  for ML systems.

Preferred Qualifications

• Experience with segmentation or other dense prediction problems.
• Exposure to virtual try-on, human parsing, or related vision domains.
• Familiarity with

  OpenCV, torchvision, albumentations

  , etc.
• Experience with

  Docker

  , model versioning, and artifact management.
• Understanding of inference monitoring and optimization in production.
• Prior exposure to production level systems or experience in a CV-related problem.

Why Intern at Camarin AI?

• Work on

  real production ML systems

  , not academic prototypes.
• Gain hands-on exposure to

  ML engineering best practices

  .
• Learn how vision models are deployed and operated at scale.
• Mentorship from engineers shipping real-world AI products.
• Opportunity for

  full-time conversion

  based on performance.

Internship Type: Full-time

Schedule:

Education:

-

- Prior experience in a computer-vision heavy domain in terms of research work or production experience is also preferred.

Work Location: