IoT Engineer - Industrial Automation & Data Analytics at Weekday AI

Mumbai, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

08 Apr, 26

Salary

700000.0

Posted On

08 Jan, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

IoT Development, Embedded Systems, Industrial Automation, PLC Integration, Data Acquisition, Cloud Platforms, Firmware Development, Communication Protocols, Data Modeling, Visualization Tools, Problem Solving, Collaboration, Sensor Integration, PCB Design, Real-Time Data Processing, Operational Efficiency

Industry

technology;Information and Internet

Description

This role is for one of the Weekday's clients Salary range: Rs 300000 - Rs 700000 (ie INR 3-7 LPA) Min Experience: 2 years Location: Mumbai JobType: full-time We are seeking a skilled IoT Engineer – Industrial Automation & Data Analytics to design, build, and deploy end-to-end Industrial IoT (IIoT) solutions for manufacturing environments. This role focuses on integrating factory floor systems—particularly PLCs and embedded devices—with modern IoT platforms to enable real-time data acquisition, analytics, and actionable insights. You will work across hardware, firmware, networking, and cloud layers to deliver scalable, secure, and high-performance IoT systems that improve operational efficiency and support data-driven decision-making in industrial settings. This is a full-time, on-site role based in Mumbai (Malad West), ideal for engineers who enjoy hands-on problem-solving in real-world manufacturing environments. Key Responsibilities Design and implement industrial IoT architectures for factory automation, integrating sensors, embedded systems, PLCs, edge devices, and cloud platforms. Interface with PLCs (such as Siemens, Allen-Bradley, Mitsubishi) to acquire operational data using industrial protocols including Modbus, OPC UA, Ethernet/IP, Profibus, and Profinet. Develop end-to-end data acquisition workflows, including real-time data polling, event-driven triggers, edge processing, and secure cloud ingestion. Build and deploy IoT solutions using platforms such as AWS IoT, Azure IoT, Zoho IoT, or equivalent third-party ecosystems. Develop firmware for microcontrollers and edge devices (ESP32, STM32, Raspberry Pi, Arduino), ensuring reliability, performance, and low-latency communication. Implement and optimize communication protocols such as MQTT, LoRa, BLE, Wi-Fi, and OPC UA for reliable industrial connectivity. Process, clean, and model factory data using structured pipelines to enable analytics, reporting, and visualization. Develop dashboards and visualizations to track machine performance, production KPIs, and operational trends. Collaborate with cross-functional teams to troubleshoot system issues, optimize performance, and ensure seamless deployment in live factory environments. Ensure system scalability, security, and compliance with industrial and data integrity standards. What Makes You a Great Fit A Bachelor’s or Master’s degree in Electronics, Mechatronics, Computer Engineering, or a related field. 2–5 years of hands-on experience in IoT development, embedded systems, or industrial automation. Proven experience integrating PLCs and factory floor equipment with IoT platforms. Strong programming skills in C, C++, Python, Embedded C, and scripting for IoT edge applications. Solid understanding of embedded hardware, sensor integration, PCB design, and firmware development. Experience working with industrial communication protocols and IIoT gateways. Working knowledge of cloud platforms, data modeling, databases, and visualization tools. Strong analytical and problem-solving skills with a customer-focused mindset. Ability to collaborate effectively with factory engineers, automation teams, and data stakeholders. Adaptability and enthusiasm for working in a fast-paced, technology-driven manufacturing environment.

Responsibilities

Design and implement industrial IoT architectures for factory automation, integrating various systems and platforms. Collaborate with cross-functional teams to troubleshoot system issues and ensure seamless deployment in live factory environments.