Position :AI And Data Intern
Requirements:
- Job Title: AI & Web Integration Intern
Location: Kalyan Nagar, Bengaluru, Karnataka, India (On-site)
Stipend: ?5,000 Per Month
Internship Period: 3 Months
About AI Masters World:
AI Masters World is an innovative startup building a high-performance, 24/7 AI-powered server to provide advanced creative tools for film production, including script generation, music composition, image and video generation, and text-to-speech. We are looking for a driven intern to help integrate and optimize our cutting-edge AI models and connect them to our web platform.
Internship Overview:
This is a hands-on opportunity for a highly motivated individual to gain practical experience in deploying, optimizing, and integrating state-of-the-art AI models with a live web platform. You will work directly with our core team to bring complex AI functionalities to end-users, gaining valuable experience in a demanding and exciting field. Performance during the 3-month internship will be considered for long-term employment.
Key Responsibilities:
AI Model Deployment & Optimization:
Download, manage, and optimize open-source Large Language Models (LLMs) and other AI models (e.g., Falcon, LLaMA 2, Stable Diffusion, MusicGen) on our high-performance server (AMD Threadripper, RTX A6000).
Implement and fine-tune model loading techniques (e.g., 4-bit quantization, bitsandbytes) for efficient GPU (NVIDIA CUDA) utilization.
Monitor AI model performance, VRAM usage, and troubleshoot loading or inference issues.
Backend Integration:
Develop and maintain Python-based API endpoints (using Flask/FastAPI) on the server to expose AI model functionalities to the web platform.
Ensure secure and efficient communication between the web frontend and the AI backend.
Frontend Web Integration & User Experience:
Collaborate on integrating AI-powered features into the web platform using JavaScript (e.g., fetch API for backend communication).
Assist in structuring and organizing web pages to provide a seamless and intuitive user experience for AI tool interaction (e.g., script generation interface, image generation controls).
Contribute to basic UI/UX improvements for AI feature presentation.
System Monitoring & Maintenance:
Assist in setting up and monitoring server resources (CPU, GPU, RAM, storage, network) using command-line tools (nvidia-smi, htop) and potentially open-source monitoring solutions (Prometheus, Grafana).
Document configurations and troubleshooting steps.
Eligibility & Required Skills:
Academic Background: College students pursuing a computer degree.
Programming Languages:
Strong proficiency in Python is mandatory. (Experience with Flask or FastAPI is a significant plus).
Familiarity with JavaScript (ES6+), HTML, and CSS is essential.
AI/ML Concepts:
Basic understanding of Machine Learning and Deep Learning concepts.
Familiarity with Large Language Models (LLMs) and generative AI models.
Experience (even academic projects) with Hugging Face Transformers library is highly desirable.
Understanding of GPU-accelerated computing (CUDA).
System & Server Skills:
Basic understanding of Linux command line (e.g., Ubuntu Server).
Familiarity with network concepts (IP addresses, ports, basic HTTP requests).
Understanding of basic server architecture (frontend/backend communication).
Experience with Docker is a strong plus (for future deployment).
Problem-Solving:
Excellent analytical and problem-solving skills with a proactive attitude.
Ability to debug technical issues in a complex environment.
Soft Skills:
Strong communication and collaboration skills.
Ability to learn quickly and adapt to new technologies.
Self-motivated and able to work independently as well as part of a team.
Bonus Points (Highly Desired):
Experience with specific AI models like LLaMA 2, Falcon, Stable Diffusion.
Familiarity with bitsandbytes or other quantization techniques.
Prior experience with deploying web applications or APIs is plus
Personal projects involving AI models or web development.
Job Type: Internship
Contract length: 3 months
Pay: ₹5,000.00 per month
Work Location: On the road
