computer vision& Gen AI Intern

19 hours ago

Pacific Remote Islands Marine National Monument, India Crowd4Test Full time

Job Title: Computer Vision & GenAI Intern

Location: (Remote/On-site/Hybrid )

Duration: 3–6 Months (with possibility of full-time offer)

Experience Level: 0–1 Year / Fresh Graduate


About Us

We are an ambitious QA automation startup building the next generation of AI-powered testing systems. Our mission is to combine computer vision and Generative AI to automate software QA like never before. If you love experimenting with AI models, learning fast, and turning ideas into working prototypes, this is your place to shine.


Role Overview

As a Computer Vision & GenAI Intern, you will work with our AI engineering team to develop prototypes, train models, and experiment with cutting-edge technologies such as LangGraph, RAG, vLLM, and transformer-based LLMs. You'll gain hands-on experience in multi-modal AI, from image understanding to natural language processing, all applied in the QA automation space.


Key Responsibilities

Assist in building computer vision pipelines integrated with LLMs.

Experiment with transformers for vision and text tasks.

Support the development of RAG workflows and LangGraph-based applications.

Help fine-tune LLMs for specific QA automation tasks.

Work with vLLM to test model serving and optimization.

Run experiments, collect performance metrics, and suggest improvements.


Skills You'll Gain

Deep learning frameworks (PyTorch, TensorFlow).

Working with transformer architectures (BERT, ViT, CLIP, BLIP, etc.).

Multi-modal AI model training (vision + text).

Retrieval-Augmented Generation (RAG) concepts.

LLM fine-tuning & high-performance inference with vLLM.

AI model deployment and integration basics.


Requirements

Degree in progress or recently completed in Computer Science, AI/ML, Data Science, or related field.

Familiarity with Python and one deep learning framework (PyTorch preferred).

Basic understanding of transformers and computer vision concepts.

Curiosity to learn LangGraph, RAG, vLLM, and multi-modal AI.

Strong problem-solving mindset and eagerness to experiment.


Bonus Points If You Have:

Worked on personal AI/ML projects or Kaggle competitions.

GitHub or portfolio showing AI-related work.

Basic knowledge of APIs and cloud platforms (AWS, GCP, Azure).


Perks & Benefits

Mentorship from experienced AI engineers.

Access to state-of-the-art AI tools and cloud resources.

Opportunity to work on real-world AI applications in QA automation.

Flexible working hours and remote-friendly environment.

Potential for full-time offer after internship.


How to Apply:

Send your resume, GitHub/portfolio, and a short note on your favorite AI project to ()

Job Types: Full-time, Internship

Work Location: Remote

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