IT OT AI Engineer

Adani Group

Vidisha

On-site

INR 900,000 - 1,300,000

Full time

8 days ago
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Job summary

Adani Group seeks an experienced IoT/OT and industrial automation specialist to design and deploy end-to-end technology solutions across multiple sites. You will work with embedded systems, PLCs, sensors, cameras, edge devices, and cloud/on-prem platforms to deliver scalable digital outcomes.

You will build Power BI dashboards, perform PoCs, pilot deployments, and coordinate with OEMs and internal teams while maintaining thorough technical documentation and supporting ongoing maintenance.

Qualifications

  • 3–8 years of experience in IoT, OT, Industrial Automation, Embedded Systems, Computer Vision, AI/ML, Digital Transformation, or related technology solution development roles.
  • Bachelors Degree in Electronics, Electrical, Instrumentation, Mechatronics, Computer Science, IT or related field.
  • Experience with field deployment, testing, troubleshooting and documentation.

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 platforms.
  • 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 BI solutions using Power BI, databases, APIs, web technologies, and AI tools.
  • Execute PoCs, 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.

Skills

IoT/OT
Industrial Automation
AI / Machine Learning
Computer Vision / Machine Vision
Embedded Systems & Microcontrollers
Hardware Integration (Sensors, Cameras
Power BI Dashboard Development
APIs & System Integration
Networking Fundamentals
Troubleshooting & Field Deployment
Technical Documentation

Education

Bachelor's Degree in Electronics, Electrical, Instrumentation, Mechatronics Computer Science, IT, Automation Engineering, or related disciplines

Job description

Job Description:

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

Bachelors 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.

Requirements:

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