IT/OT AI Engineer
Adani Career Site Open · verified Oct 22, 2026 At a glance
Mid-level AI Engineering role at Adani Career Site. Mundra · full-time.
Pay not stated AI Engineering salary
aimlroles summary, based on the employer's posting.
What you'll do
- Build and roll out solutions spanning industrial controllers, sensors, cameras, edge devices, networks, servers and cloud or on-premise platforms
- Put IoT, automation, machine vision and AI/ML into practice through monitoring, data capture and remote diagnostics
- Create Power BI dashboards and analytics tools that draw on databases, APIs, web technologies and AI tools
- Run proofs of concept and pilots, then test, troubleshoot and integrate hardware, software, networks and enterprise applications
- Work with business units, vendors and internal teams to address operational challenges, document solutions and support deployments across locations
What you bring
- Three to eight years developing technology solutions in IoT, industrial automation, embedded systems or another listed field
- A bachelor's degree in electronics, electrical engineering, computer science or another listed discipline
Who this fits
This mid-level role suits someone who combines industrial technology with AI/ML and can take solutions from testing into field deployment. The position is based in Mundra, India and includes rollout and maintenance work across multiple locations.
From the employer
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.
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.