IT/OT AI Engineer
This role bridges AI/ML with industrial automation, requiring expertise in deploying AI-driven solutions across embedded systems, PLCs, and edge devices to optimize operational efficiency. The engineer will collaborate with cross-functional teams to design scalable IoT and Industry 4.0 systems while troubleshooting hardware-software integrations in a field-deployment setting.
Skills required
About this role
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.
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