Job Description

:

As a

GenAI Intern

, you will work on developing and fine-tuning advanced AI models, exploring

Generative AI (GenAI), Large Language Models (LLMs), Deep Learning, and Computer Vision

applications. You will gain hands-on experience with state-of-the-art AI tools and frameworks while working alongside experienced AI professionals.

Key Responsibilities:

Work on Generative AI models, fine-tuning

pre-trained LLMs

(e.g., GPT, BERT, LLaMA). Implement and optimize

Deep Learning

and

Computer Vision

models. Utilize

TensorFlow, PyTorch, Hugging Face Transformers, LangChain

, and related frameworks. Develop and train models for

Object Detection and Image Recognition

using

YOLO, OpenCV

. Conduct research and experiment with

prompt engineering

and

model optimization techniques

. Collaborate with the development team to integrate AI models into real-world applications.

Who Can Apply?

We are looking for candidates who:
? Are available for a

6-month internship

.
? Have completed projects in

GenAI, Deep Learning, and Computer Vision

.
? Have a strong understanding of

LLMs, Transformers, NLP, and Image Processing

.
? Are proficient in

Python, TensorFlow, PyTorch, and OpenCV

.
? Are passionate about AI and eager to learn and innovate.

Perks & Benefits:

Certificate & Letter of Recommendation

upon completion.

Flexible Work Hours

- Work at your convenience.

Exposure to Cutting-Edge AI Technologies

.

Collaborative Learning Environment

with industry experts.

How to Apply?

If you are interested in this exciting opportunity, send your

resume

to

teams.aiindia@gmail.com

with the subject line

"Application for GenAI Internship - Ai India"

.

Join us in shaping the future of AI!

Job Type: Internship
Contract length: 6 months

Pay: ?5,000.00 - ?8,000.00 per month

Schedule:

Monday to Friday
Application Question(s):

Which of the following AI frameworks have you used?
TensorFlow
PyTorch
Hugging Face Transformers
LangChain
OpenCV
YOLO

Do you have experience working with Generative AI models? Have you worked on projects involving Deep Learning and Computer Vision?
Work Location: In person

Application Deadline: 05/03/2025