IT/OT AI Engineer
Posted 7 Sep 2026
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 3–8 yrs
- Management level
- Individual contributor
Compensation
No salary listed for this role.
Role speciality
Artificial Intelligence and Machine LearningComputer VisionEmbedded SystemsIndustrial AutomationIndustrial IoTOperational Technology
Useful technologies
AWSAzurePower BI
Preferred qualifications
Field of studyAutomation Engineering, Computer Science, Electrical Engineering, Electronics, Information Technology, Instrumentation, Mechatronics (or related)
Study levelBachelor's
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