Welcome to Hayden AI, where the future is ours to make. From bus lane and bus stop enforcement to digital twin modeling and more, our clients use our mobile perception system to speed up transit, make streets safer, and create a more sustainable future. Led by experts in AI, computer vision, data science, transportation, and government technology, Hayden AI is pioneering real world problem solving powered by AI and machine learning. Our mobile perception platform is currently utilized by New York City's MTA for automated bus lane enforcement. We recently raised $20 million in Series A funding and have been featured in Bloomberg CityLab, Forbes, Smart Cities Dive, and Politico.

Become a Deep Learning Engineer. PyTorch is a machine learning and deep learning framework written in Python. PyTorch enables you to craft new and use existing state-of-the-art deep learning algorithms like neural networks powering much of today's Artificial Intelligence (AI) applications. PyTorch is used by companies like: Tesla to build the computer vision systems for their self-driving cars, Meta to power the curation and understanding systems for their content timelines, Apple to create computationally enhanced photography. Much of the latest machine learning research is done and published using PyTorch code so knowing how it works means you'll be at the cutting edge of this highly in-demand field.

How do I start a career as a deep learning engineer? What are some of the key tools and frameworks used in AI? How do I learn more about ethics in AI? Everyone has questions, but the most common questions in AI always return to this: how do I get involved? Cutting through the hype to share fundamental principles for building a career in AI, a group of AI professionals gathered at NVIDIA's GTC conference in the spring offered what may be the best place to start. Each panelist, in a conversation with NVIDIA's Louis Stewart, head of strategic initiatives for the developer ecosystem, came to the industry from very different places. But the speakers -- Katie Kallot, NVIDIA's former head of global developer relations and emerging areas; David Ajoku, founder of startup aware.ai;

As a deep learning engineer at Arbrea Labs, you will be working at the interface between research and production code, where a wide array of different tasks arise in this unique context. As one of the key employees, you will have a strong influence on how our product will be shaped, giving you, altogether with the team, the opportunity to grow into world leaders in Medical AR/VR technology. You will work with friendly, passionate, and easy-going team members, be very willing to offer guidance, and have a beer (or two) after work or regular team events. The working environment is quite flexible, with offices in a Technology hub, attractive salaries and we offer employee participation plans. Arbrea Labs is an ETH spin-off from the Computer Graphics Lab, ETH Zurich.

Deep learning engineers are essential, experts in Machine learning and Deep learning. They use DL platforms and libraries to perform specific tasks included within a larger AI framework. An AI project goes through a cycle of 5 different stages viz. Deep engineers carry out data engineering, modelling and deployment tasks. Their defining expertise lies in training deep learning models with proper evaluation metrics.

The field of deep learning has been growing exponentially in recent times, mostly due to the huge amount of data that is available and easily accessible computing resources, in this blog we are going to discuss what deep learning actually is, why to use deep learning, and how to get started with it so basically it will provide you the complete roadmap to be a deep learning engineer with books attached. "Deep learning is a machine learning technique that teaches computers to do what comes naturally to humans" Deep learning is a series of algorithms that attempts to imitate the learning of a human brain, or at least that's what they claim, what actually happens inside is that it performs several complex mathematical functions that make it possible for a computer to perform a task like humans. For example, we have seen driverless cars well deep learning is the key technology behind this miracle, we can talk to our phone and issue a command and it will do said task, eg Siri, Amazon Alexa, well deep learning makes all of this possible. Through deep learning, a computer model learns to perform classification tasks directly from images, text, or audio. Deep learning algorithms can achieve state-of-the-art accuracy, even exceeding human-level performance from time to time.

Apart from a competitive salary package, APIXA offers a fun and exciting work environment where you will be part of a team that is at the forefront of artificial intelligence and computer vision technologies. We also provide extensive training and educational paths so you can continuously grow your knowledge and sharpen your skills. To find out more about our company culture, our offices, our job openings and the recruitment steps: https://www.apixa.com/careers

Enthusiasm and determination to make your mark on the world! Enthusiasm and determination to make your mark on the world! TensorFlow is an end-to-end open-source machine learning / deep learning platform. It has a comprehensive ecosystem of libraries, tools, and community resources that lets AI/ML engineers, scientists, analysts build and deploy ML-powered deep learning applications. The name TensorFlow is derived from the operations which neural networks perform on multidimensional data arrays or tensors.

Just about everyone agrees that data scientists and AI developers are the new superstars of the tech industry. But ask a group of CIOs to define the precise area of expertise for data science-related job titles, and discord becomes the word of the day. As businesses seek actionable insights by hiring teams that include data analysts, data engineers, data scientists, machine learning engineers and deep learning engineers, a key to success is understanding what each role can -- and can't -- do for the business. Read on to learn what your data science and AI experts can be expected to contribute as companies grapple with ever-increasing amounts of data that must be mined to create new paths to innovation. In a perfect world, every company employee and executive works under a well-defined set of duties and responsibilities.

In light of the coronavirus (COVID-19) and to protect our candidates' and interviewers' health and wellbeing, we will be conducting all interviews virtually. We are searching for a Deep Learning engineer with experience working on production level image recognition models, who is passionate about developing and applying Deep Learning algorithms to solve a wide range of real world problems, from detecting anomalies in shiny glass bottles to identifying nodules in thyroid ultrasound images and predicting possible landslides from topographical maps - just to name a few. At Incubit, we undertake the challenge of solving problems that haven't been solved alongside the leading companies of Japan. Japanese companies have a long tradition of working with external technical experts to solve their core business issues by applying the latest technology. They count on us as an expert in problem solving, especially in the area of image recognition using Deep Learning technology.