About the Work from Home Freelance Full Stack Developer AI
About the Project:
We are looking for an experienced Full Stack Engineer to develop a website offering AI-powered voice generation services. The platform allows users to input text and generate realistic AI-driven voices, with features like custom voice creation, audio editing, and user management.
As the lead developer on this project, you'll have the opportunity to shape the entire platform, from backend architecture to frontend design, and integrate cutting-edge AI models for speech synthesis.
Responsibilities:
Develop and design the full-stack architecture for a voice generation website.
Implement frontend interfaces using modern JavaScript frameworks (React.js, Angular, or Vue.js).
Build backend APIs using Node.js (or Python) and integrate with AI models for text-to-speech (TTS) and speech-to-text (STT).
Integrate existing AI models such as OpenAI Whisper, Tacotron, WaveNet, or similar for high-quality voice synthesis.
Implement features like user authentication, payment gateway integration (Stripe/PayPal), and real-time audio generation.
Set up cloud infrastructure (AWS, Google Cloud, or Azure) for deployment, scalability, and data storage.
Ensure the platform is secure and performs efficiently with SSL, data encryption, and OAuth2/JWT-based authentication.
Collaborate with stakeholders to refine requirements and provide technical guidance.
Requirements:
Proven experience in full-stack development (both frontend and backend).
Strong proficiency in JavaScript, HTML5, CSS3, and modern frontend frameworks (React.js, Angular, or Vue.js).
Experience with backend development using Node.js (Express) or Python (Flask/Django).
Hands-on experience with AI-based voice generation models like Tacotron, WaveNet, OpenAI Whisper, or similar.
Familiarity with integrating and working with cloud-based AI services (AWS Polly, Google Cloud TTS, etc.).
Experience with databases (SQL/NoSQL), file storage systems (AWS S3, Google Cloud Storage), and scalable cloud infrastructure.
Familiarity with Docker, Kubernetes, and CI/CD pipeline setup for deployment.
Strong problem-solving skills and attention to detail.
Experience with payment gateway integration is a plus.
Nice-to-Haves:
Experience working with AI model fine-tuning or customization.
Background in machine learning, deep learning, or natural language processing (NLP).
Experience with WebSockets and real-time application development.
Knowledge of UX/UI best practices.
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