AI Intern

Overview

Beyond Apps Group is Hiring AI Intern

Location: On-site

Internship Duration: [3 months and can be extended]

What You’ll Learn & Do
As an AI Intern, you will:
-Learn and assist in deploying AI models on AWS (Amazon SageMaker, Lambda, EC2, and other relevant services).
-Work on model evaluation and selection, learning how to compare different AI models based on key metrics like accuracy, latency, cost, and scalability.
-Understand real-world AI deployment challenges and how to optimize models for production.
-Document and present your findings, experiments, and insights.

Required Skills & Qualifications
-Currently pursuing or recently completed a degree in Computer Science, AI, Machine Learning, Data Science, or a related field.
-Basic understanding of AI/ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
-Familiarity with AI model evaluation metrics (accuracy, precision, recall, F1-score, inference time).
-Programming skills in Python (experience with NumPy, Pandas, and Scikit-learn).
- Interest in learning AWS and cloud-based AI deployment.
-Strong problem-solving and analytical thinking skills.
- A passion for learning new technologies and adapting to real-world AI challenges.
- No AWS Experience? No Problem!
We will train you on AWS services, including: (1- Amazon SageMaker (for model training & deployment). 2-AWS Lambda & EC2 (for AI inference). 3-AWS S3 (for data storage).)
-Cloud optimization techniques to make AI models efficient and scalable.
Nice-to-Have (Not Required, but a Plus)
-Prior experience with AWS (even basic knowledge).
- Experience with Git .

Why Join Us?
Gain practical AI deployment skills that are highly valuable in the industry.
Work alongside experienced AI.
Learn AWS from scratch, preparing you for future cloud-based AI roles.
Flexible working environment with potential for future career growth.
How to Apply?
If you’re excited to learn AWS and AI deployment, send your resume to rania@msd-my.com (with subject AI intern").
Kickstart your AI career with Beyond Apps Group!

Keywords

• AI/ML Knowledge SageMaker, Lambda, EC2, and S3 Python (NumPy, Pandas, Scikit-learn). AWS GIT Problem-Solving and Critical Thinking

Job roles

• Information Technology