5 front desk jobs found in chennai, tamil nadu.

Requirement for 1 resource with SAP Material management skills & JD below. Job Position : IT Admin DeskExperience : 3-5 YearsJob Description:Procure to pay cycle (P2P)IT Budgeting & Demand PlanningGR (Goods receipt)SE (Services Entry)PR (Purchase Requisition)Invoice verification & TrackingClearance Support (E way bill creation), End to end material movement support (IT materials)E-waste Disposal SupportVendor ManagementEnd to End Vedor Co-Ordination for

6–8 years of professional experience in frontend development. Strong expertise in React.js and JavaScript/TypeScript. Solid understanding of state management (Redux or similar). Familiarity with maps / geospatial libraries (Google Maps, Mapbox, Leaflet, or similar). Strong knowledge of responsive design and cross-browser compatibility. Experience integrating with RESTful APIs and handling real-time data.  Good understanding of CI/CD, Git workflows,

UI Design & Prototyping: Translate design conceptsinto interactive prototypes using toolslike Figma, Sketch, or Adobe XD, and ensure designfeasibility with developers and product stakeholders. Front-End Development: Develop modular,responsive, and maintainable UI componentsusing HTML, CSS, JavaScript, and modernframeworks like React, Angular, or Vue.js. Micro-Frontend Architecture: Contribute to thedesign and implementation

RequirementsRequired Skill-setBachelor’s degree or foreign equivalent in Computer Engineering or Computer Science.At least 3+ years of development experience with Next.js/React.js development.At least 2+ years of development experience with TypeScript development.In-depth knowledge of TypeScript, JavaScript, CSS, HTML, and front-end languages.Knowledge of REACT tools including React.js, Webpack, Enzyme, Redux, and Flux. Understanding of Git and

Responsibilities:1. Design and develop AI and machine learning models.2. Preprocess and analyze large datasets for model training.3. Select appropriate algorithms and techniques for specific problems.4. Train, test, and tune machine learning models for optimal performance.5. Collaborate with cross-functional teams to gather requirements and deliver solutions.6. Deploy AI models into production environments and monitor their performance.7. Stay updated