Internship - Computer Vision

Job Title: Intern - Computer Vision Data Scientist

Location: On-site(Noida)

Company Description

ARVO is a cutting-edge deep tech platform leveraging AI, IoT, and blockchain technology to deliver authenticity and traceability solutions. Our mission is to restore trust and transparency in global marketplaces by ensuring product integrity throughout its journey, from source to shelf. By utilizing unique tamper-proof labels and AI-generated digital footprints tokenized on the blockchain, we enable real-time verification of product authenticity. Our Vision AI algorithm enhances trust by safeguarding the integrity of every item, ensuring quality for consumers and businesses alike.

Role Overview

We are looking for an ambitious and highly motivated Data Science Intern with a strong interest in computer vision and large language models. This role is ideal for someone who wants hands-on experience, takes ownership of their work, and is eager to learn by solving real-world machine learning problems.

Key Responsibilities

Assist in developing and evaluating computer vision models for image analysis and pattern understanding.

Work with Vision Transformer (ViT) and other deep learning architectures under guidance.

Support the use of Large Language Models (LLMs) for embeddings, summarization, or retrieval-based tasks.

Perform data preprocessing, augmentation, and exploratory data analysis.

Run experiments, analyze results, and document findings clearly.

Take ownership of assigned tasks and deliver outcomes within timelines.

Collaborate with mentors and team members to understand end-to-end ML workflows.

Required Skills & Qualifications

Currently pursuing or recently completed a degree in Computer Science, Data Science, AI/ML, or a related field.

Basic understanding of computer vision and deep learning concepts.

Familiarity with Python and at least one ML/DL framework (PyTorch or TensorFlow preferred).

Awareness of transformer-based models and LLMs.

Strong curiosity and willingness to learn new tools and techniques.

Behavioral & Mindset Expectations

Ambitious, proactive, and self-motivated.

Demonstrates an ownership mindsettakes responsibility for assigned work.

Willing to experiment, fail fast, and learn quickly.

Good communication skills and openness to feedback.

Comfortable working in a fast-paced learning environment.

Good to Have

Hands-on projects in computer vision (academic or personal).

Exposure to Vision Transformers (ViT) or multimodal models.

Basic knowledge of cloud platforms or MLOps concepts.

Experience participating in hackathons, research projects, or open-source contributions.

What Youll Gain

Practical experience working on real-world computer vision and LLM problems.

Mentorship from experienced data scientists and engineers.

Ownership of meaningful tasks rather than only observational work.

Strong foundation for a future role in Data Science or Machine Learning.