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Mid-level generalist ML/IoT role at a well-known conglomerate increases applicant competition.
Role requires industry-specific OT/industrial automation and embedded experience, limiting cross-industry transfers.
Explicit 3–8 years plus mandatory IoT, embedded, AI/ML and computer vision skills tighten shortlisting.
Develop and deploy end-to-end technology solutions involving embedded systems, industrial controllers, sensors, edge devices, and cloud/on-premise platforms.
Design and implement IoT, OT, Industry 4.0, machine vision, AI/ML, and industrial automation solutions including dashboards and analytics using Power BI and APIs.
Execute PoCs, pilot projects, field deployments, testing, troubleshooting, and collaborate with vendors, OEMs, and internal teams for scalable digital solutions.
3–8 years of experience in IoT, OT, Industrial Automation, Embedded Systems, Computer Vision, AI/ML, or related technology solution development roles.
Bachelor's Degree in Electronics, Electrical, Instrumentation, Mechatronics, Computer Science, IT, Automation Engineering, or related disciplines.
Mandatory skills: IoT, OT, Industrial Automation, AI/ML, Embedded Systems, Hardware Integration (Sensors, Cameras, Controllers), Power BI development, APIs, Networking fundamentals, Troubleshooting, Technical documentation.
Work Experience Required: 3–8 years, Notice Period: Not explicitly mentioned in the JD.
Experienced in hands-on development and deployment of integrated digital solutions combining hardware and software in industrial environments.
Strong technical integration skills across embedded systems, AI/ML, machine vision, and networked devices with capability to lead PoCs and pilot deployments.
Familiar with collaborating with cross-functional teams including business units, vendors, OEMs for scalable operational technology and IoT implementations.