AI Data Scientist who is highly skilled in Python, Large Language Models (LLMs), Orchestrator Frameworks, and Multi-Agent Systems to build scalable, enterprise-grade AI solutions. The ideal candidate is hands-on, can convert real-world business problems into AI-driven workflows, and is comfortable working across cloud platforms, especially Microsoft Azure
Responsibilities
AI Data Scientist who is highly skilled in Python, Large Language Models (LLMs), Orchestrator Frameworks, and Multi-Agent Systems to build scalable, enterprise-grade AI solutions. The ideal candidate is hands-on, can convert real-world business problems into AI-driven workflows, and is comfortable working across cloud platforms, especially Microsoft Azure
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Build modern, high-performance, AI-integrated UIs for planners across 3D layout views, process timelines, and collaborative planning interfaces — all delivered as responsive web apps with offline capabilities and Copilot integration.
Responsibilities:
Develop modular, responsive user interfaces using React + TypeScript with state management (Zustand/Redux/React Query).
Implement 3D factory visualizations using Three.js or Babylon.js, with overlays for stations, parts, tasks, and dependencies.
Build persona-specific dashboards and work surfaces (Planner, Engineer, Approver) based on feature toggles and context.
Create Progressive Web App (PWA) experience, including offline access, caching, sync queues, and service workers.
Integrate frontend with GraphQL APIs, Copilot suggestion APIs, and real-time updates via WebSockets or Yjs.
Optimize performance and loading behavior for large data sets (e.g., 10k+ parts, 3D models), using techniques like virtualization, chunking, and caching.
Build AI-first interfaces: show draft cards, auto-fill fields, Copilot side panel, and explainability flows.
Contribute to and extend a Design System (based on Tailwind + ShadCN/Material UI), reusable across squads.
Ensure accessibility, mobile/tablet responsiveness, and WCAG compliance
Responsibilities
Build modern, high-performance, AI-integrated UIs for planners across 3D layout views, process timelines, and collaborative planning interfaces — all delivered as responsive web apps with offline capabilities and Copilot integration.
Responsibilities:
Develop modular, responsive user interfaces using React + TypeScript with state management (Zustand/Redux/React Query).
Implement 3D factory visualizations using Three.js or Babylon.js, with overlays for stations, parts, tasks, and dependencies.
Build persona-specific dashboards and work surfaces (Planner, Engineer, Approver) based on feature toggles and context.
Create Progressive Web App (PWA) experience, including offline access, caching, sync queues, and service workers.
Integrate frontend with GraphQL APIs, Copilot suggestion APIs, and real-time updates via WebSockets or Yjs.
Optimize performance and loading behavior for large data sets (e.g., 10k+ parts, 3D models), using techniques like virtualization, chunking, and caching.
Build AI-first interfaces: show draft cards, auto-fill fields, Copilot side panel, and explainability flows.
Contribute to and extend a Design System (based on Tailwind + ShadCN/Material UI), reusable across squads.
Ensure accessibility, mobile/tablet responsiveness, and WCAG compliance
Salary : Rs. 14,20,000.0 - Rs. 18,50,000.0
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Full stack Developer to design and implement scalable APIs, microservices, and modern, high-performance, AI-integrated UIs for planners. You will work across the stack to build 3D layout views, process timelines, and collaborative planning interfaces, while managing real-time planning, commit workflows, and data management.
Key Responsibilities:
UI Development: Develop modular, responsive user interfaces using React + TypeScript with state management (Zustand/Redux/React Query).
3D Visualization: Implement 3D factory visualizations using Three.js or Babylon.js, with overlays for stations, parts, tasks, and dependencies.
Persona-Based Interfaces: Build persona-specific dashboards (Planner, Engineer, Approver) and AI-first interfaces that show draft cards, auto-fill fields, and Copilot side panels.
PWA Implementation: Create a Progressive Web App (PWA) experience, including offline access, caching, sync queues, and service workers.
Performance Optimization: Optimize performance and loading behavior for large data sets (e.g., 10k+ parts, 3D models) using virtualization, chunking, and caching.
API Design: Design and build secure, performant GraphQL and RESTful APIs for core modules like the Commit Engine and Scenario Planner.
Microservices: Develop containerized microservices with well-defined domain ownership.
System Orchestration: Implement event-driven patterns (e.g., Kafka, Azure Service Bus) for system reactivity and loosely coupled orchestration.
Data Management: Handle polyglot persistence using PostgreSQL for structured data, MongoDB for unstructured data, Redis for caching, and Neo4j for graph dependencies.
AI & Real-time: Collaborate with AI teams to expose models as APIs and integrate frontend with real-time updates via WebSockets or Yjs.
Security & Standards: Ensure compliance with security standards (RBAC, audit trails) and support API versioning and usage throttling.
Design System: Contribute to and extend a Design System (based on Tailwind + ShadCN/Material UI) reusable across squads.
Responsibilities
Full stack Developer to design and implement scalable APIs, microservices, and modern, high-performance, AI-integrated UIs for planners. You will work across the stack to build 3D layout views, process timelines, and collaborative planning interfaces, while managing real-time planning, commit workflows, and data management.
Key Responsibilities:
UI Development: Develop modular, responsive user interfaces using React + TypeScript with state management (Zustand/Redux/React Query).
3D Visualization: Implement 3D factory visualizations using Three.js or Babylon.js, with overlays for stations, parts, tasks, and dependencies.
Persona-Based Interfaces: Build persona-specific dashboards (Planner, Engineer, Approver) and AI-first interfaces that show draft cards, auto-fill fields, and Copilot side panels.
PWA Implementation: Create a Progressive Web App (PWA) experience, including offline access, caching, sync queues, and service workers.
Performance Optimization: Optimize performance and loading behavior for large data sets (e.g., 10k+ parts, 3D models) using virtualization, chunking, and caching.
API Design: Design and build secure, performant GraphQL and RESTful APIs for core modules like the Commit Engine and Scenario Planner.
Microservices: Develop containerized microservices with well-defined domain ownership.
System Orchestration: Implement event-driven patterns (e.g., Kafka, Azure Service Bus) for system reactivity and loosely coupled orchestration.
Data Management: Handle polyglot persistence using PostgreSQL for structured data, MongoDB for unstructured data, Redis for caching, and Neo4j for graph dependencies.
AI & Real-time: Collaborate with AI teams to expose models as APIs and integrate frontend with real-time updates via WebSockets or Yjs.
Security & Standards: Ensure compliance with security standards (RBAC, audit trails) and support API versioning and usage throttling.
Design System: Contribute to and extend a Design System (based on Tailwind + ShadCN/Material UI) reusable across squads.
Salary : Rs. 14,00,000.0 - Rs. 14,20,000.0
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
10 BDC7A Summary: As a Quality Engineer, you will enable full stack solutions through multi-disciplinary team planning and ecosystem integration to accelerate delivery and drive quality across the application lifecycle. Your typical day will involve performing continuous testing for security, API, and regression suites, creating automation strategies, and supporting data and environment configurations. You will also participate in code reviews, monitor and report defects, and engage in continuous improvement activities for the end-to-end testing process, ensuring that the highest quality standards are met throughout the project lifecycleData Analysis – SQL, Visualization (visualization skills are low priority, but must be good with SQL) Knowledge/Exposure to Azure ecosystem, esp. ADF, Azure Databricks, Python• Understanding of building data products (things like data mapping, transformation (business and technical), validation of data products – data quality and adherence to specs). Roles & Responsibilities: - Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Develop and implement automated testing scripts to enhance testing efficiency.- Collaborate with cross-functional teams to ensure seamless integration of testing processes. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Analytics.- Strong analytical skills to interpret complex data sets.- Experience with data visualization tools to present findings effectively.- Familiarity with automation testing frameworks and tools.- Ability to troubleshoot and resolve issues in testing environments.
Responsibilities
10 BDC7A Summary: As a Quality Engineer, you will enable full stack solutions through multi-disciplinary team planning and ecosystem integration to accelerate delivery and drive quality across the application lifecycle. Your typical day will involve performing continuous testing for security, API, and regression suites, creating automation strategies, and supporting data and environment configurations. You will also participate in code reviews, monitor and report defects, and engage in continuous improvement activities for the end-to-end testing process, ensuring that the highest quality standards are met throughout the project lifecycleData Analysis – SQL, Visualization (visualization skills are low priority, but must be good with SQL) Knowledge/Exposure to Azure ecosystem, esp. ADF, Azure Databricks, Python• Understanding of building data products (things like data mapping, transformation (business and technical), validation of data products – data quality and adherence to specs). Roles & Responsibilities: - Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Develop and implement automated testing scripts to enhance testing efficiency.- Collaborate with cross-functional teams to ensure seamless integration of testing processes. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Analytics.- Strong analytical skills to interpret complex data sets.- Experience with data visualization tools to present findings effectively.- Familiarity with automation testing frameworks and tools.- Ability to troubleshoot and resolve issues in testing environments.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
