Responsibilities: Full Stack Development: Design, develop, and maintain high-quality web applications using Python, FastAPI/Django, TypeScript (React + Redux Toolkit), and RDBMS & ORM. Front-End Development: Create responsive and engaging user interfaces using React, Redux Toolkit, and TypeScript, ensuring a positive user experience. Back-End Development: Develop robust and scalable back-end systems using Python and FastAPI/Django, integrating with databases and APIs. Database Management: Design and manage efficient database schemas using RDBMS and ORM technologies. API Development: Develop and maintain RESTful APIs for seamless communication between front-end and back-end systems. Testing and Debugging: Conduct thorough testing and debugging to ensure application quality and stability. Collaboration: Work closely with designers, product managers, and other developers to deliver exceptional products. Deployment: Deploy and maintain web applications in cloud environments, potentially using Docker/Kubernetes. Requirements: Proven Experience: 3+ years of experience in full stack development with a strong understanding of web technologies. Technical Skills: Essential: Proficiency in Python, FastAPI/Django, TypeScript (React + Redux Toolkit), RDBMS & ORM. Preferred: Experience with Docker/Kubernetes. Problem-Solving Skills: Excellent analytical and problem-solving abilities to address technical challenges effectively. Communication Skills: Strong communication and interpersonal skills to collaborate with team members and stakeholders. Agile Methodology: Familiarity with Agile development methodologies and best practices.

Role Description: This is a full-time on-site role as a Machine Learning Engineer in Chennai. The Machine Learning Engineer will be responsible for pattern recognition, developing neural networks, applying statistical analysis, and implementing algorithms on a day-to-day basis. Responsibilities: Develop and deploy machine learning models: Design, build, train, and evaluate various models, including deep learning, natural language processing, and time series analysis models, leveraging your understanding of core ML concepts like supervised, unsupervised, and reinforcement learning paradigms. This includes experience with Transformer models and their applications. Data processing and feature engineering: Clean, transform, and prepare large datasets for model training and evaluation. Develop innovative feature engineering techniques to improve model performance. LLM and RAG development: Build and fine-tune LLMs for specific tasks related to voice and data analytics. Implement RAG systems to enhance LLM performance with external knowledge sources. Prompt-to-SQL generation: Develop models that can translate natural language queries into SQL queries, enabling users to easily access and analyze data. Data insights and visualization: Develop algorithms and tools to extract meaningful insights from data and present them clearly and concisely. Classifier development: Build and train classifiers for various tasks, such as sentiment analysis, topic classification, and intent recognition. This includes understanding different classification algorithms (e.g., logistic regression, support vector machines, decision trees) and performance metrics (e.g., precision, recall, F1- score). Model optimization and deployment: Optimize model performance for speed and accuracy. Deploy models to production environments using appropriate tools and technologies. Stay up-to-date: Keep abreast of the latest advancements in machine learning and related fields. Explore and experiment with new techniques and technologies. Collaborate effectively: Work closely with other engineers, product managers, and researchers to deliver high-quality solutions. Requirements: 2-4 years of experience developing and deploying machine learning models in a production environment. Strong understanding of fundamental machine learning concepts, including model selection, evaluation metrics, bias-variance tradeoffs, and regularization techniques. Solid grasp of neural networks, including different architectures (e.g., CNNs, RNNs, Transformers), activation functions, backpropagation, and optimization algorithms. Deep understanding of Transformer models, including attention mechanisms, selfattention, and different Transformer variants (e.g., BERT, GPT). Experience with classification modelling techniques, including handling imbalanced datasets, multi-class classification, and model interpretation. Strong programming skills in Python and experience with relevant libraries such as TensorFlow, PyTorch, scikit-learn, and Hugging Face Transformers. Specifically, experience fine-tuning and deploying Transformer models using these libraries. Nice to Have: Experience with cloud platforms such as AWS, Azure, or GCP, including deploying and managing Transformer models at scale. Experience with database technologies such as SQL and NoSQL. Experience with version control systems such as Git. Excellent communication and collaboration skills. Experience with LLMs, RAG, and prompt engineering, specifically using Transformerbased models, is a strong plus. Experience with voice data processing and analysis is a plus

Responsibilities: Full Stack Development: Design, develop, and maintain high-quality web applications using Python, FastAPI/Django, TypeScript (React + Redux Toolkit), and RDBMS & ORM. Front-End Development: Create responsive and engaging user interfaces using React, Redux Toolkit, and TypeScript, ensuring a positive user experience. Back-End Development: Develop robust and scalable back-end systems using Python and FastAPI/Django, integrating with databases and APIs. Database Management: Design and manage efficient database schemas using RDBMS and ORM technologies. API Development: Develop and maintain RESTful APIs for seamless communication between front-end and back-end systems. Testing and Debugging: Conduct thorough testing and debugging to ensure application quality and stability. Collaboration: Work closely with designers, product managers, and other developers to deliver exceptional products. Deployment: Deploy and maintain web applications in cloud environments, potentially using Docker/Kubernetes. Requirements: Proven Experience: 3+ years of experience in full stack development with a strong understanding of web technologies. Technical Skills: Essential: Proficiency in Python, FastAPI/Django, TypeScript (React + Redux Toolkit), RDBMS & ORM. Preferred: Experience with Docker/Kubernetes. Problem-Solving Skills: Excellent analytical and problem-solving abilities to address technical challenges effectively. Communication Skills: Strong communication and interpersonal skills to collaborate with team members and stakeholders. Agile Methodology: Familiarity with Agile development methodologies and best practices

Job Summary: We are looking for a talented Frontend Engineer with expertise in React, Tailwind CSS, and UI/UX design principles to join our team. As a Frontend Engineer, you will be responsible for designing, implementing, and maintaining user interfaces that deliver exceptional user experiences. The ideal candidate will have a strong passion for frontend development, a keen eye for detail, and the ability to collaborate effectively with cross-functional teams. Key Responsibilities Design intuitive and visually appealing user interfaces and mockups using Figma. Develop high-quality, scalable user interfaces using React (TypeScript) and Tailwind CSS. Collaborate closely with backend engineers to create cohesive and engaging user experiences. Translate business requirements into technical specifications and reusable UI components. Maintain and enhance the existing frontend codebase, ensuring high performance and responsiveness. Write clean, maintainable, and well-tested code using tools such as Jest and React Testing Library (RTL). Integrate with RESTful APIs to fetch, manage, and display data effectively. Participate in code reviews and contribute to maintaining high code quality and frontend best practices. Required Skills and Experience 100% TypeScript-first development approach with strict typing and modern TypeScript best practices. Expertise in ReactJS including advanced patterns such as Custom hooks, Higher-Order Components (HOC) and Compound Components. Strong experience with Redux Toolkit for state management and RTK Query or React Query for data fetching. Proven ability to write high-performant, accessibility standard, scalable, maintainable and well documented code, with a focus on code quality from the start. Deep understanding of JavaScript, the browser environment, and modern ECMAScript standards. End-to-end UI ownership from creating Figma mockups to building responsive, accessible, and production-grade interfaces. Solid grasp of UI/UX principles and hands-on experience with Tailwind CSS for building consistent, utility-first interfaces. Familiarity with Framer Motion for implementing smooth animations and interactions. Strong testing discipline using Jest and React Testing Library (RTL) for component/unit testing. Experience integrating and managing RESTful API communication with proper state handling. Proficient with build and tooling environments including Vite, Rollup, Webpack, Babel, Yarn, and TanStack libraries (Query, Table, Virtualizer, etc.). Working knowledge of authentication, authorization, and token management in Single Page Applications (SPAs). Proficient in Git and GitHub for version control and collaborative development. Good to Have Familiarity with frontend performance optimization techniques and tooling. Understanding of monorepo setups using tools like Turborepo. Basic knowledge of internationalization (i18n) and localization in frontend applications. Experience with CI/CD pipelines and cloud-based deployments. Exposure to component libraries or design systems. Tech Stack You'll Be Working With Languages & Frameworks: JavaScript, TypeScript, ReactJS, Redux Toolkit, RTK Query/React Query Styling: Tailwind CSS, Vanilla CSS Testing: Jest, React Testing Library Tooling: Vite, Webpack, Babel, Rollup, Yarn Animation & UI Libraries: Framer Motion Libraries: Framer Motion API Communication: RESTful APIs, SSE and Websockets. Version Control: Git, GitHub Cloud: AWS or Google Cloud (basic familiarity expected).