We are looking for a candidate who is great with, or has high-end skills in, web development. Require mandatory skills :- Flask and Mern stack
We are looking for a candidate who is great with, or has high-end skills in, web development. Require mandatory skills :- Flask and Mern stack
🚀 Job Opening: Full Stack Developer (Flask | MERN | Next.js | Node.js) 📍 Location: Bopal, Ahmedabad 🕒 Job Type: Full Time | Day Shift 🏢 Work Mode: Work from Office 📌 Applications Open For: Ahmedabad Region 💼 Position OverviewWe are looking for a highly skilled Full Stack Developer with hands-on expertise in Flask (Python backend), MERN stack, Next.js, and Node.js. The ideal candidate should be capable of building robust, scalable, and high-performance web applications from scratch, as well as integrating AI-driven modules. 🔑 ResponsibilitiesDesign, develop, and deploy end-to-end full stack applications. Build RESTful APIs and microservices using Flask & Node.js. Work with MongoDB for scalable database solutions. Develop responsive and dynamic UIs using React.js / Next.js. Manage state using Redux / Context API. Ensure application security, performance optimization, and best practices. Collaborate with AI/ML developers to integrate machine learning modules. 🧑💻 RequirementsStrong proficiency in Python (Flask) and JavaScript/TypeScript. Solid experience in MERN stack (MongoDB, Express.js, React.js, Node.js). Expertise in Next.js for server-side rendering & performance optimization. Knowledge of API integrations, JWT auth, WebSockets, and real-time apps. Experience with Git, CI/CD, Docker, or cloud platforms (AWS/Heroku/DO) is a plus. Problem-solving mindset and ability to handle complex system architecture. 💰 Salary & PerksSalary: ₹40,000 – ₹80,000 per month (Fixed only)
AI Model Training Expert – Text-to-Speech (TTS) We are looking for an experienced AI/ML engineer to lead fine-tuning and optimization of cutting-edge Text-to-Speech (TTS) models. The role involves dataset preparation (audio–text alignment, cleaning, augmentation), model training (LoRA, parameter-efficient tuning, or decoder unfreezing), evaluation (naturalness, intelligibility, prosody), and deployment for production-ready inference. Hands-on expertise with PyTorch, Hugging Face, and speech datasets (IndicTTS, LJ-Speech, etc.) is required. Prior experience in multilingual or Indic-language TTS is a strong plus.