Role and Responsibilities: Develop computer vision solutions; gain experience with deep learning; translate demonstrable technology. Working with the data science team to research, develop, evaluate and optimize various computer vision and deep learning models for different problems. Exploring and analyzing unstructured data like images through image processing are other key responsibilities of computer vision engineers.
Average Salary (per annum): US$ 210,000
- Bachelor’s degree from an accredited university in computer science, information systems, or something similar to this field.
- Master’s degree in a computer science field or computer engineering.
- Courses in specific areas of specialization are also important.
- Have problem-solving abilities.
- A strong analytical skill.
Top 3 Online Courses:
Become a Computer Vision Expert – Nanodegree Program by Nvidia (Udacity): It is a fact that computer vision plays a crucial role in robotics and automation and is one of the most in-demand skills in today’s industries. In this nano degree, you will get started with writing programs for analyzing images, implementing feature extraction, and recognizing objects using deep learning models. So, if you have prior experience with Python, statistics, machine learning, and deep learning then having this degree under your belt will definitely be a smart move.
Convolutional Neural Networks Course by deeplearning.ai (Coursera): This program walks you through the key features and concepts required to build convolutional neural networks and apply them to image data. Learn to apply the networks for visual detection and recognition tasks and use neural style transfer to generate art. Upon the completion of the class, you will be ready to integrate your knowledge and work on relevant projects. You may also be interested in taking a look at our take on ML courses here.
Introduction to Computer Vision with Watson and OpenCV by IBM (Coursera): Designed by expert instructors of IBM, this course can provide you with all the material and skills that you need to get introduced to computer vision. Joining this course will help you learn the fundamental concepts of computer vision so that you can understand how it is used in various industries like self-driving cars, augmented reality, robotics, face detection in law enforcement, etc. During the course, you will be able to communicate with your instructors if you have any queries related to the course content, or you are unable to understand the concepts in the course. After concluding the course positively, you will receive a certificate of completion that can be shared with employers.
Top Institutes Offering the Program
- B.Tech Computer science engineering: Cornell University
- B.Tech Computer science engineering: Marquette University
- M.tech Computer science engineering :engineering: Temple University
Top Recruiters for This Job:
Qualcomm: Qualcomm is a company of inventors that unlocked 5G ushering in an age of rapid acceleration in connectivity and new possibilities that will transform industries, create jobs, and enrich lives. But this is just the beginning. It takes inventive minds with diverse skills, backgrounds, and cultures to transform 5Gs potential into world-changing technologies and products. This is the Invention Age – and this is where you come in.
Fictiv: The company’s Digital Manufacturing Ecosystem is transforming how the next rockets, self-driving cars, and life-saving robots are designed, developed, and delivered to customers around the world. This transformation is made possible through its technology-backed platform, its global network of manufacturing partners, and its people with deep expertise in hardware and software development. In the last 7+ years, the company has manufactured over 12M parts for early-stage companies and large enterprises alike, helping them innovate with agility and get to market faster.
Prime vision: The product team Vision develops advanced industrial Computer Vision software solutions. These solutions vary from the automatic reading of printed and handwritten texts (OCR software) and the detection and classification of symbols and objects to (self-) learning of intelligent systems. Its solutions work on standalone servers, as an embedded service, and in “the cloud”. It uses state-of-the-art Machine Learning, Computer Vision, and Software techniques from our own and open source open-source sources. Based on developments that started more than 45 years ago, Prime Vision’s recognized technology is among the best in the world.
Quidient: Quidient seeks a skilled computer engineer/scientist with strong 3D scene reconstruction experience to join the growing company. You will be able to design, implement and test Quidient Reality™ scene reconstruction engine algorithms and data structures in C++. You will be a quick thinker with great coding/debugging skills, excellent time-management skills, and strong collaborative skills. Title, compensation (including equity), and relocation expense reimbursement will be commensurate with experience.
Rivian: Rivian is on a mission to keep the world adventurous forever. This goes for the emissions-free Electric Adventure Vehicles it builds, and the curious, courageous souls it seeks to attract. As a company, it constantly challenges what’s possible, never simply accepting what has always been done.
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