IT Digital IoT Intern

Job Summary

We are seeking hands-on interns who can work on projects related to the Internet of Things (IoT), often involving the development, implementation, and management of connected devices and systems.

Assist in data ingestion & transformation from devices and build algorithms to analyze data.

What Will You Learn



* Good understanding of Cellular & IoT framework in Microsoft Azure ecosystem


* Medical device connectivity quality and regulations


* Data analysis to identify patterns and insights, and use visualization tools to present their findings


* Cross-functional collaboration across technology, product and quality teams to release connected devices with robust security and framework

Responsibilities

Specific tasks, duties, essential functions of the job


* Good understanding of IoT concepts, including protocols like MQTT, HTTPS, BLE using TLS 1.2+ and experience with cloud platforms such as Azure, AWS


* Collaborate with IT, Engineering, Quality, Product teams to build robust & secure IoT architecture


* Work closely with IT & Engineering teams on building data analysis and visualization for IoT data designed per device software or firmware


* Segregate device telemetry & data privacy (PII/PHI) and build access controls for data security


* Monitor health and performance of IoT systems and identify potential issues, bottlenecks, or security threats and build mechanisms to apply patches & upgrades to ensure security and functionality of devices

Qualifications

Experience and Education


* Enrolled in a bachelor’s or master’s degree in Information Systems, Computer Science, Business Analytics, or related field


* Knowledge of IoT concepts & architecture on cloud platforms such as Azure, AWS


* Familiarity with IoT protocols like MQTT, HTTP, and BLE and security best practices


* Familiarity with device engineering such as microcontrollers, sensors, and embedded software


* Understanding of languages like Python, Java, or others used in IoT development is often preferred


* Strong analytical, statistical and problem-solving skills to address complex data challenges


* Good understanding of mobile applications and BLE connected devices


* Eager to learn how AI and automation can improve business engagement workflows