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IoT Engineer - ReapMind Innovations Pvt. Ltd. Kolhapur | Minnesota (USA
To research, build, test, and document state-of-the-art IoT solutions with integrated electronics and firmware development. To develop local IoT device software that includes monitoring, execution, and self-healing processes. To design innovative IoT services that communicate with server-side technologies and develop MEAN stack solutions wherever necessary. To learn the functioning of and implement new state-of-the-art tools/techniques to showcase experience in quick prototyping methods and structured implementation. To design and develop platform solutions for cloud-to-edge IoT applications with customizable configuration abilities for deployment to different clients with different needs. To work with dynamic IoT, Computer Vision, and MEAN technology stack to find solutions to complex real-world problems. To plan and build efficient tools to optimize support QA, deployment, and support services. Skills: 1. Machine learning and Artificial Intelligence
Machine learning is the basic skill required in IoT. You must be able to collect, analyze, and extract insights from huge amounts of data. You should be able to identify patterns and structures in the data received to predict outcomes. With increasing complexity, Artificial Intelligence is also being used for such tasks and to carry out decisions based on the algorithms. Every company requires IoT skills engineers who are able in harvesting data from IoT devices and, in simple terms, make sense out of it, to increase efficiency. 2. JavaScript and Python
If you want to start your career in IoT, you must have a decent amount of programming skills. Being well versed in programming languages such as JavaScript and Python will help you appear as a pro in the IoT field. While JavaScript is a widely used web-based scripting language and helps in developing a scalable and secure system at the backend, Python helps programmers create and execute flawless coding. 3. Knowledge about How Sensors Work
In almost every IoT application, sensors are involved in some manner or the other. These sensors exchange data in real-time as these devices are connected to the network. IoT engineers must have an in-depth understanding of how sensors work and also how to integrate them with the system infrastructure. Knowledge about sensors is most in demand skills required to become an IoT Engineer. 4. UI-Centric Approach
One of the crucial elements in any infrastructure design is the user experience. The user interface must be developed in such a way that it offers front end control for all the operations in the backend. It also should provide for interactions between one or more devices. It should be designed in such a way that any person apart from the IoT engineer should easily be able to navigate and trigger even the most complex operations easily. 5. Node.js Development
Node.js is the most widely used and preferred for building IoT applications. IoT engineers should be skilled in working with open source environments. These environments use server-side web development to manage connective devices such as Arduino and Raspberry Pi. 6. Big Data
IoT devices generate data in real-time. With data getting generated on such a vast scale and an IoT engineer must be capable of managing this kind of data. Big Data is used for analyzing as monitoring the data. The organization may hire IoT skills professionals who can work with Big Data, however, you become more appealable to recruiters if you possess skills in Big data as well. Also, combining Big data and AI results in higher efficiency and speed.
7. Security IoT engineering is filled with a lot of problems such as privacy issues, data loss, security, malicious attacks, etc. this is generally due to the complex nature and scalability of IoT applications. Tech companies around the world hire professional engineers(IoT skills) who can provide solutions to build a foolproof security infrastructure. Having decent knowledge in this domain goes a long way in building a successful career in IoT. 8. GPS Systems GPS systems have seen a huge increase in their demand since IoT(skills) tech has been widely developed. Many applications of IoT provide for the development of location-aware devices. They have been used in smart vehicles, logistics companies, and not to forget wearable technology and much more. IoT engineers who have a good amount of knowledge in GPS systems have a huge demand due to this. 9. Cloud Computing Data storage is one of the major problems that IoT engineers face. As mentioned previously, Devices generate huge amounts of data in real-time. A simple and effective way to overcome this challenge is cloud computing. Since all devices are connected to a network could computing helps host the excess of data that the device has generated. 10. Mobile Hardware Environment
Hardware is the core of an IoT embedded system. It is vital for IoT engineers to possess in-depth knowledge about the hardware components to use and what goes where and so on. They need to be aware of the tendency of each component and their responses to the surrounding conditions along with how much data flows through the devices. All of them are driven by mobile software which is made for smartphones, tablets, wearables, etc. They need to also have a decent amount of knowledge about Android and iOS ecosystems.