Iot advanced solution engineer

Responsible for designing, developing, and deploying advanced Io T and IIo T solutions across industrial and enterprise environments. Integrates sensors, edge devices, gateways, and cloud platforms to enable real-time data collection, analytics, and digital transformation use cases in support of OSCO's engineering solutions portfolio. Job Description and Responsibilities Design end-to-end Io T and IIo T architectures covering device connectivity, edge processing, data pipelines, and application layers. Integrate sensors, edge devices, and Io T gateways with cloud platforms for real-time monitoring and analytics. Develop Io T applications and dashboards for remote monitoring, predictive maintenance, and asset performance management. Implement data analytics and AI/ML use cases to generate operational insights from IIo T data streams. Ensure secure communication, data integrity, and cybersecurity compliance across all Io T solutions. Integrate Io T solutions with enterprise systems including ERP (Odoo), SCADA, MES, and third-party platforms. Perform testing, performance optimization, and deployment of Io T solutions in industrial environments. Support clients in defining Io T use cases, requirements, and ROI frameworks for digital transformation projects. Develop technical documentation, architecture diagrams, and solution handover packs. Basic Qualifications Bachelor's degree in Computer Engineering, Electronics, Telecommunications, Automation, or an Io T-related discipline. Minimum 4 years of experience in Io T or IIo T solution development and deployment. Hands-on experience with cloud Io T platforms (Azure Io T Hub, AWS Io T Core, or equivalent). Knowledge of edge computing architectures, industrial gateways, and MQTT/REST protocols. Experience with data analytics, AI/ML frameworks, or digital twin concepts is an advantage. SKILLS AND COMPETENCIES Proficiency with Azure Io T, AWS Io T, or equivalent cloud Io T platforms. Edge computing and industrial gateway configuration experience. Knowledge of MQTT, Co AP, REST API, and OPC-UA protocols. Data analytics and basic AI/ML model deployment skills. Cybersecurity awareness for Io T ecosystems. Ability to integrate Io T solutions with ERP, SCADA, and MES platforms. #J-18808-Ljbffr