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).
REQUIRED TECHNICAL QUALIFICATIONS Guidewire Policy Center Configuration certification required (version 8 and above). 5+ years of experience in Guidewire PolicyCenter configuration development using GOSU with PolicyCenter v8, 9 or 10. 5+ years of experience developing web-based Java/J2EE or .Net applications. Experience with web service consuming, using the Guidewire EDGE Layer and APIs. R&R The Guidewire Policy Center Configuration Developer will be responsible for partnering with technical and business teams and leads to plan, design, develop and release Guidewire Policy Center products. Working with Technical and Business leads during Guidewire Policy Center implementations and actively participating in the requirements review, assessment and high level and detailed sizing of required configuration and technical effort. Ensuring technical design and specifications are in line with traceable user-stories / requirements and according to Guidewire and Sompo International development best-practices. Configuring new policy products and policylines, and extending existing products and data models, UI screens, Custom Form Patterns - as required and within the foundational / platform guidelines. Implementing ISO circulars for the SBT products by creating new versions or maintaining the Guidewire ratebooks, rateroutines and ratetables. Performing impact analysis for changes related to the products present in Production. Analyzing the impact of the change on the issued policies and inflight jobs. Working with technical leads in designing and end-to-end implementing Guidewire jobs (Submission, Policy Change, Cancellation, Renewal, Rewrite and Reinstatement). Learning and supporting Conversion Center and utilities and processes involved within the overall policy conversion process. Leveraging available Guidewire accelerators to accelerate development activities and make reuse of proven architectural patterns, for integrations or product development activities. Ensuring that the delivered code is standards-based, G-unit tested and code-reviewed with supporting artifacts and in line with business requirements and technical specifications. Coordinating and working with on/offshore resources to plan, design and complete the assigned deliverables. Ensuring that work is completed on time per the established schedule by the technical lead(s). Conducting code / peer reviews and ensuring that unit, integration, end-to-end and smoke tests are conducted following continuous integration and deployment activities. Responsible for gate-checking code prior to higher environment propagations. In addition to project implementations, responsible for supporting various life-cycle phases during and post-implementation, including production support and maintenance. Experience with configuring Product Model, Rating Management module, Ratebooks, rateroutines and ratetables is required. Experience is required with implementation of major flows and rules including Policy Submissions, Policy Change, Cancellation, Renewal, Rewrite and Policy Reinstatement. Demonstrated expertise and experience with Guidewire APIs, Product Designer, GX Model, Integrations and Product Model development (for integration, testing and data migrations) is preferred. Strong experience with Gosu query API and SQL is required. Knowledge of Commercial P&C insurance highly preferred. Strong and demonstrable leadership and application ownership (post-implementation) with Guidewire Policy Center product implementations is required. Experience with production support is required. Experience leading offshore teams is highly preferred. Excellent problem-solving and analytical skills. Comfort with ambiguity and ability to navigate through and lead teams to solutioning. Strong experience with XML technologies (XSD, Xpath, Xquery, XSL, and XSLT). Experienced with Agile methodology and tooling (TFS, Rally, JIRA, etc.) in a technical owner capacity. Experience with source controls tools like GIT, TFS, DevOps or similar.
Required Technical Qualifications Certification in Guidewire Policy Center integration with a strong hands-on experience is required. Strong experience and understanding of Guidewire Edge APIs, with experience exposing Guidewire functionality (account, policy, user management, etc.) to external consumers. Minimum of 4+ years of experience with Guidewire PolicyCenter integration development with an overall 5+ years of experience developing web based Java/J2EE or .Net applications. R&R Guidewire Policy Center Integration Developer will be responsible for partnering with technical and business teams and leads to plan, design, develop and release integration solutions with Guidewire Policy Center products. Working with Technical and Business leads during Guidewire Policy Center implementations and actively participating in the requirements review, assessment and high level and detailed sizing of required configuration and technical effort. Ensuring technical design and specifications are in line with traceable user-stories / requirements and according to Guidewire and Sompo International development best-practices. Leveraging available Guidewire accelerators to accelerate development activities and make reuse of proven architectural patterns, for integrations or product development activities. Ensuring that the delivered code is standards-based, G-unit tested and code-reviewed with supporting artifacts and in line with business requirements and technical specifications. Develop integration solutions including Batch processes, Message Queues and Event Messaging and Message Queues. Advanced knowledge and experience with XML, JSON and SQL are required. Develop integration solutions with internal and external consumers. Leverage Guidewire EDGE APIs or EDGE oriented extended models to build domain-based API solutions that are reusable. Experience with creating transactional as well as account and user-management integrations with Guidewire Policy Center and external systems. Strong understanding of reconciliation is required. Establish and execute traceable unit and integration tests (automated as to be agreed) Conducting code / peer reviews and ensuring that unit, integration, end-to-end and smoke tests are conducted following continuous integration and deployment activities. Responsible for gate-checking code prior to higher environment propagations. In addition to project implementations, responsible for supporting various life-cycle phases during and post-implementation, including production support and maintenance. Strong experience / knowledge of Guidewire integration concepts: Batch Processing, Message Queues and Event Processing Demonstrated expertise and experience with Guidewire APIs, Product Designer, GX Model, Integrations and Product Model development (for integration, testing and data migrations) is preferred. Strong experience with SQL is required. Experience with web service hosting and consuming, using the Guidewire EDGE Layer. Strong experience designing/developing Rest APIs or Web Services to expose Guidewire functionality to consumers. Experience leading offshore teams is highly preferred. Knowledge of Commercial P&C insurance is highly preferred.. Excellent problem-solving and analytical skills. Comfort with ambiguity and ability to navigate through and lead teams to solutioning. Experienced with Agile methodology and tooling (TFS, Rally, JIRA, etc.) in a technical owner capacity. Experience with source controls tools like GIT, TFS or similar.
Develop and maintain reports, dashboards, and visualizations for business stakeholders. Utilize SQL to extract and manipulate data from various sources. Apply advanced Excel functions and techniques for data analysis and reporting. Use Python for data automation, scripting, and advanced analytics. Work with analytical tools to support business decision-making. Collaborate with different teams to understand data requirements and provide meaningful solutions. Ensure data accuracy, integrity, and efficiency in reporting. Assist in backend data management and optimization if required. "> Apply Now> Required Skills & Qualifications: Proven experience in data analysis and reporting. Expert proficiency in Microsoft Excel (including Power Query, PivotTables, and advanced formulas). Strong SQL skills for data extraction and manipulation. Proficiency in Python for data processing and automation. Experience with analytical and reporting tools such as Power BI, Tableau, or similar. Strong problem-solving skills with a keen understanding of business data needs. Ability to work independently and in a team-oriented environment. Excellent communication and presentation skills. Experience in backend data management (preferred but not mandatory)