Ai Ml Backend Systems Intern

## About the Role At Textify.ai, we are bridging the gap between sophisticated machine learning models and seamless user experiences. We are looking for an AI/ML Intern with a strong Backend foundation—someone who doesn't just build models in a vacuum but understands how to serve them, optimize them for mobile, and manage the data architecture behind them. This role is perfect for a developer who enjoys the "full-stack" of AI: from training and quantizing models to deploying robust APIs and managing hosting environments. ## Technologies (Learning & Hands-On) - AI/ML: TensorFlow, TensorFlow Lite (TFLite), Keras, Model Optimization. - Backend: Python, FastAPI / Flask, Pydantic, RESTful API Design. - Database & Hosting: PostgreSQL / MongoDB, Redis, Docker, Cloud Hosting (AWS/GCP). - Mobile Integration: On-device ML execution, Model Quantization. ## What You Will Do - On-Device AI Optimization: Use TensorFlow Lite to convert and optimize models for mobile deployment, ensuring high performance and low latency on Android devices. - Robust Backend Development: Build and maintain scalable REST APIs using Python/FastAPI to handle high-frequency AI requests and data processing. - System Architecture: Design and manage database schemas and caching layers to ensure data persistence and rapid retrieval for our AI features. - Deployment & DevOps: Take charge of hosting and infrastructure—containerizing services with Docker and deploying them to cloud environments. - Model Pipeline Management: Bridge the gap between research and production by creating automated pipelines for model serving and monitoring. - End-to-End Integration: Collaborate with our Mobile Dev team to ensure on-device models and backend APIs work in perfect sync. ## What We Are Looking For - TensorFlow Fluency: Comfortable building, training, and troubleshooting models using TensorFlow; familiarity with the TFLite ecosystem is a big plus. - Backend Proficiency: Strong Python skills with the ability to create structured, secure APIs and work comfortably with relational or NoSQL databases. - Infrastructure Mindset: Understanding of how to move a project from localhost to a live server (creating APIs, handling CORS, managing environment variables). - Data Literacy: Ability to handle data preprocessing, augmentation, and efficient storage for ML workflows. - Problem-Solver: You enjoy the challenge of making a heavy model run smoothly on a resource-constrained mobile device. ## Bonus Points - Mobile Deployment: You have successfully deployed an ML model (Vision, NLP, etc.) directly onto a mobile app using TFLite. - DevOps Exposure: Experience with Docker, CI/CD, or managing cloud instances (EC2, Render, etc.). - Computer Vision Interest: Experience with image processing or real-time video analysis. ## About the Company Textify.ai is a company focused on bridging the gap between sophisticated machine learning models and seamless user experiences.