Job Title: AI Engineering Intern

Location: Delhi (Hybrid)

Duration: 3 months

Stipend: Competitive, based on skills and experience, with potential for Full-time conversion.

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.

Our work spans image segmentation, virtual try-on pipelines, attribute extraction, and vision-driven recommendation systems, all deployed in real-world production environments.

Internship Overview

We are looking for an AI Engineering Intern to contribute to production-oriented vision and ML pipelines. This role emphasizes end-to-end ML workflows, experiment tracking, deployment, and iteration in real systems.

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: Day shift

Education:

- Currently pursuing or recently completed a Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or a related field (Preferred).

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

Work Location: Hybrid – Delhi