Top Tech Jobs & Startup Jobs

Manage end-to-end accounts receivable and accounting operations for India and Middle East entities. Responsibilities include invoicing, cash application, collections, reconciliations, financial reporting, month-end closing, GST and TDS compliance, audit support, statutory reporting, and process improvement. The role requires collaboration with finance, customers, auditors, and geographically distributed teams while ensuring accurate records, regulatory compliance, and timely financial activities.

Build and integrate production AI features using LLMs, RAG pipelines, intelligent agents, automation workflows, and IoT data. Develop reusable AI services, optimize systems for scalability and cost, collaborate cross-functionally, monitor production performance, and apply responsible AI, security, and data governance practices.

Build and maintain scalable batch and real-time data pipelines for IoT and application data. Develop ETL/ELT processes, ingestion frameworks, data models, storage solutions, and datasets supporting analytics and AI workloads. Ensure data quality, reliability, security, and performance while monitoring production pipelines and troubleshooting issues. Collaborate with AI, backend, product, and platform teams, contribute to architecture discussions and code reviews, and apply data governance and modern software development practices.

Create visual assets for IoT-based facility and energy management products, including dashboards, icons, floor plans, illustrations, infographics, presentations, marketing materials, and branding. Collaborate with product, engineering, AI, and marketing teams to communicate complex concepts clearly. Maintain visual consistency across digital and print media, manage multiple projects, and optimize graphics for web, mobile, and presentations. Blender-based 3D modeling, rendering, or animation is advantageous.

Develop and deploy machine learning models for prediction, classification, anomaly detection, optimization, and forecasting using IoT, operational, and enterprise data. Perform exploratory analysis, feature engineering, statistical experimentation, visualization, and model evaluation. Collaborate with AI and data engineers to productionize models, build intelligent product features, monitor performance, and communicate insights to technical and business stakeholders.