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Niche IoT/OT plus AI/embedded skillset and unknown employer reduce qualified applicant density.
Strong industrial automation, PLC, and embedded AI requirements limit cross-industry transferability.
Explicit 3–8 years plus broad mandatory IoT/OT, AI, embedded, and industrial automation skills.
Develop and deploy end-to-end technology solutions integrating embedded systems, industrial controllers, sensors, and cloud/platforms focusing on IoT, OT, Industry 4.0, AI/ML, and industrial automation.
Design and implement machine vision, AI/ML solutions, and build analytics dashboards using Power BI, APIs, and web technologies.
Lead PoCs, pilot projects, field deployments, integration, testing, and troubleshooting across hardware, software, networking, and enterprise applications while collaborating with business units and vendors.
3–8 years of experience in IoT, OT, Industrial Automation, Embedded Systems, Computer Vision, AI/ML, or digital solution development roles.
Bachelor's degree in Electronics, Electrical, Instrumentation, Mechatronics, Computer Science, IT, Automation Engineering, or related field.
Mandatory skills: IoT/OT, Industrial Automation, AI/ML, Embedded Systems, Hardware Integration, Power BI dashboard development, APIs & system integration.
Work Experience Required: 3–8 years; Notice Period: Not explicitly mentioned in the JD.
Experienced in integrating complex hardware-software systems in industrial environments with hands-on field deployment and troubleshooting expertise.
Able to manage cross-functional collaboration with business units, OEMs, vendors, and internal stakeholders for scalable digital solution delivery.
Strong applied skills in AI/ML and machine/computer vision combined with Power BI and API-based analytics/dashboard development, suitable for operational technology domains.