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Job Description: Role Overview We are looking for a highly skilled Full Stack Developer with expertise in React, Node.js, and AI/ML integration. This role will contribute to building scalable applications, integrating AI features, and ensuring seamless user experiences. The ideal candidate is passionate about innovation, problem-solving, and creating impactful digital products. Frontend Development Develop responsive web applications using React and TypeScript Build reusable components with proper type safety and modern React patterns (hooks, context, etc.) Implement state management solutions (Redux Toolkit, Zustand, or React Query) Create intuitive user interfaces for AI-powered features and data visualization Ensure optimal performance and user experience across devices Backend Development Build RESTful APIs and GraphQL endpoints using Node.js with TypeScript Develop Python services for AI/ML model integration and data processing Implement machine learning workflows using TensorFlow, PyTorch, or Hugging Face Handle real-time data processing and API integrations Design scalable microservices architecture for AI workloads AI Integration Integrate pre-trained models or develop custom ML solutions Implement data pipelines for model training and inference Work with NLP, computer vision, or predictive analytics Handle model deployment, monitoring, and performance optimizations. Database Management Design and optimize database schemas for relational and document-based data Work with PostgreSQL for structured data and complex queries Implement MongoDB for flexible document storage and rapid prototyping Handle data modeling for AI training datasets and application data Required Technical Skills Frontend Stack React (latest version with functional components and hooks) TypeScript for type-safe development Modern CSS (CSS Modules, Styled Components, Tailwind CSS) State management and data fetching libraries Backend Stack Node.js with Express.js or Fastify Python with FastAPI or Flask for AI services TypeScript for Node.js development RESTful API design and GraphQL AI/ML Libraries TensorFlow, PyTorch, scikit-learn, pandas, numpy Hugging Face Transformers for NLP tasks Open AI API integration or similar AI services Data processing and visualization libraries Database Technologies PostgreSQL for relational data MongoDB for document storage Understanding when to choose SQL vs NoSQL solutions Development Tools Git version control and collaborative development Docker for containerization Testing frameworks (Jest, pytest) CI/CD pipelines for deployment Experience 3+ years of React and TypeScript development 2+ years of Node.js backend development 1+ years working with Python for data processing or AI implementations Experience integrating machine learning models into web applications Skills Solid understanding of modern JavaScript/TypeScript patterns Experience with AI/ML model deployment and optimization Database design and query optimization API design and integration best practices Problem-solving skills for AI-driven feature development (Working Hours/Timing: 10 am to 6 pm Mon-Fri) Interested candidate can send their resume on Call now on +91- 6354797016 Job Description: Role Overview We are looking for a highly skilled Full Stack Developer with expertise in React, Node.js, and AI/ML integration. This role will contribute to building scalable applications, integrating AI features, and ensuring seamless user experiences. The ideal candidate is passionate about innovation, problem-solving, and creating impactful digital products. Frontend Development Develop responsive web applications using React and TypeScript Build reusable components with proper type safety and modern React patterns (hooks, context, etc.) Implement state management solutions (Redux Toolkit, Zustand, or React Query) Create intuitive user interfaces for AI-powered features and data visualization Ensure optimal performance and user experience across devices Backend Development Build RESTful APIs and GraphQL endpoints using Node.js with TypeScript Develop Python services for AI/ML model integration and data processing Implement machine learning workflows using TensorFlow, PyTorch, or Hugging Face Handle real-time data processing and API integrations Design scalable microservices architecture for AI workloads AI Integration Integrate pre-trained models or develop custom ML solutions Implement data pipelines for model training and inference Work with NLP, computer vision, or predictive analytics Handle model deployment, monitoring, and performance optimizations. Database Management Design and optimize database schemas for relational and document-based data Work with PostgreSQL for structured data and complex queries Implement MongoDB for flexible doc
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