IT/OT AI Engineer

Adani Group

Mundra

On-site

INR 1,200,000 - 1,800,000

Full time

14 days+
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Job summary

Adani Group through Adani Skills & Education seeks a seasoned technologist to design and deploy end-to-end IT/OT and industrial automation solutions. You will work with embedded systems, PLCs, sensors, cameras, edge devices, and cloud/on-prem platforms to enable digital transformation across sites.

You will build analytics dashboards with Power BI, integrate APIs, and lead PoCs, pilots, and field deployments while coordinating with OEMs, vendors, and internal teams.

Qualifications

  • IoT/OT/Industrial automation expertise required.
  • Experience in embedded systems, AI/ML, digital transformation.
  • Strong telemetry, data integration, and analytics capabilities.

Responsibilities

  • Develop end-to-end technology solutions across embedded systems, PLCs, sensors, and edge devices.
  • Design IoT/OT/Industry 4.0 solutions including machine vision and AI tools.
  • Build BI dashboards and portals using Power BI and APIs.
  • Lead PoCs, pilots, field deployments, testing, and troubleshooting.
  • Collaborate with stakeholders to design scalable digital solutions.
  • Prepare documentation and support rollout and maintenance across locations.

Skills

IoT
OT
Industrial Automation
AI/ML
Computer Vision
Embedded Systems
Hardware Integration
Power BI
APIs & Integration
Networking Fundamentals
Troubleshooting
Edge Computing
Industry 4.0
Cloud Platforms
Data Engineering
CCTV Analytics
Server Administration
Access Control
Web App Development
Digital Solution Architecture
Remote Monitoring
Vendor Management
Project Management
Stakeholder Coordination

Education

Bachelor's Degree

Tools

Power BI
Azure
AWS

Job description

Purpose/Objective

Design, develop, and deploy innovative IT, OT, IoT, embedded systems, automation, AI, and analytics solutions to support Adani Skills & Education's digital transformation initiatives, training infrastructure, and industrial use cases.

Key Responsibilities of Role
  • 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.
Technical Competencies
  • Computer Vision / Machine Vision
  • IoT Solutions (RaspBerry Pi or Jetson Series)
  • Power BI Dashboard Development
  • API & System Integration
Qualifications and Experience
  • 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)
  • Edge Computing
  • Industry 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
  • 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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