Live opening · Posted 1 day ago
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About the role
Description supplied by the original job listing.
Responsibilities
Key Responsibilities
Develop and deploy end-to-end technology solutions using embedded systems, PLCs, industrial controllers, microcontrollers, sensors, cameras, edge devices, gateways, networking equipment, servers, and cloud/on-premise platform=s.
Design and implement IoT, OT, Industry 4.0, industrial automation, machine vision, AI/ML, data acquisition, monitoring, and remote diagnostics solutions.
Build dashboards, analytics applications, portals, and business intelligence solutions using Power BI, databases, APIs, web technologies, and AI tools.
Execute Proof of Concepts (PoC’s), pilot projects, field deployments, testing, troubleshooting, and integration of hardware, software, networking, CCTV access control, and enterprise applications.
Collaborate with business units, OEMs, vendors, and internal stakeholders to identify challenges and develop scalable digital solutions.
Maintain technical documentation and support implementation, rollout, and maintenance activities across multiple locations.
Qualifications
Key Skill Requirements
IoT (Internet of Things)OT (Operational Technology)
Industrial Automation
AI / Machine Learning
Computer Vision / Machine Vision
Embedded Systems & Microcontrollers
Hardware Integration (Sensors, Cameras, Controllers, Gateways)
Power BI Dashboard Development
APIs & System Integration
Networking Fundamentals
Troubleshooting & Field Deployment
Technical Documentation
Optional Experience
Edge ComputingIndustry 4.0 Technologies
Cloud Platforms (Azure, AWS)
Data Engineering
CCTV Analytics
Server Administration
Access Control Systems
Web Application Development
Digital Solution Architecture
Digital Learning Systems Integration
Remote Monitoring & Diagnostics
Technical Documentation
Vendor & OEM Management
Project Management & Stakeholder Coordination
Preferred Qualification
Bachelor's Degree in Electronics, Electrical, Instrumentation, Mechatronics Computer Science, IT, Automation Engineering, or related disciplines.
Experience
3–8 years of experience in IoT, OT, Industrial Automation, Embedded Systems, Computer Vision, AI/ML, Digital Transformation, or related technology solution development roles.
Work arrangement
No
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