Our tech talent network consists of hundreds of on-site talents, off-site collaborators and top software houses. We will pick Deep Learning superstars perfectly fitted for your company culture, industry and technology.
Our goal is not to simply deliver the project. We will help you build a hypergrowth environment around your technology and your product.
Even the best algorithms are just a part of success. We will provide you with interdisciplinary team of tech business talents, from project managers and strategy consultants to sales and marketing experts.
We take the best principles of agile approach to software develolpment and expand it to other project's areas, to ensure the highest efficiency and transparency of our expert's work.
You tell us about your challenges and business goals.
Based on that information we provide you with top software talents perfectly matching your needs.
Together we brief the newly created team and kick-off the project.
Poof! Your tailor-made squad of experts is ready to work!
We’ve been extremely satisfied. We work with multiple partners, but they’re our main supplier because of the quality of their work.View the case study
Make your forecasts more reliable. By regularly analyzing data from different sources, deep learning algorithms can provide you with well-founded predictions on future sales, investment performance, and more.
Find new income sources and get the most of out the ones you are already using. With the right deep learning solutions, you can better optimize your production chain, streamline supply chain and sales, and innovate your product to beat your competition.
Harness the power of automation and grow your business without issues. By utilizing deep learning engineering, you can expand without hiring numbers of new employees and stay on the right track by making data-driven decisions.
Achieve long-term cost optimization with automation. Deep learning is commonly used for automating routine tasks across all industries, from manufactures to digital-focused IT businesses.
According to McKinsey's report, deep learning techniques account for approximately 40% of the annual value created by analytics. The investments in the field are getting increasingly popular as a number of companies decide to hire deep learning engineers to help them with automation, forecasting, analytics, and more. In fact, according to a report by Grand View Research, the global deep learning market size will likely grow to more than 10 billion dollars by 2025.
But what is actually deep learning? How can it help your company? And, when you finally decide to invest in deep learning, how to hire a deep learning engineer to help you incorporate the techniques in your business? We answer all these questions in our guide below.
The term deep learning is sometimes used interchangeably with the term machine learning. In fact, however, deep learning is a subset of machine learning — one, although especially popular, approach to ML in the sea of others.
What makes deep learning unique, is that it is a method inspired by how human brain functions. Using artificial neural networks, deep learning engineers aim to teach a machine how to recognize patterns and interpret them. This covers, for example, voice recognition, incredibly important in voice assistants like Apple’s Siri or Amazon’s Alexa, and image recognition used in autonomous cars.
Deep learning is also being utilized in science. Back in 2017, Google's deep learning tool used to identify breast cancer cases had an accuracy of nearly 90%.
But deep learning can be implemented for any business niche. Most companies use the technology for:
A huge share of advantages coming from using deep learning is, then, linked to letting the machine handle routine tasks. These tasks, if done by a human, would take longer to be accomplished. In the end, then, although first you have to invest in deep learning engineers, using these machine learning techniques will help you optimize costs in the long run.
Deep learning developers are directly responsible for building, testing, and analyzing artificial neural networks. Although with such an engineer’s help a machine should be able to learn and even find data by itself, the process still must be overseen by an expert. This is done to make sure that the algorithm is continuously working correctly, providing reliable results.
What technical skills should a deep learning engineer have in order to deliver artificial neural networks of top quality?
While the above set of technical skills is truly a must for deep learning engineering, your candidate should also possess specific soft skills for ultimate efficiency. Such set of soft skills might include:
Becoming a deep learning expert requires tons of professional (including theoretical) knowledge and self-motivation to learn it all. That’s why there are not that many self-taught deep learning engineers — most of them learned about all the relevant concepts at universities. They are most often graduates of majors like computer science, statistics, (applied) mathematics, physics, data science, or some kind of engineering. They build their interest in deep learning, machine learning, AI, and other relevant topics by attending courses on:
When you plan to hire a deep learning developer, remember to assess not only their education but also commercial experience. It’s best if they already have worked for a company to develop neural networks and understand the difference between academic research and more focused commercial development with specific business goals to reach.
Look especially for deep learning engineers who have previously worked…
In order to make sure you are indeed hiring an experienced, top-quality deep learning developer, you should run a professional technical interview with them. This can cover a set of questions on their technical knowledge or even a task (such as writing a specific algorithm) to be accomplished by the candidate at home. Of course, such an interview should be run by a deep learning expert — if you are not one yourself, consider asking for help from another machine learning engineer, or a software consultant/IT project manager with an understanding of deep learning.
Below are some of our favorite deep learning engineer job interview questions. Some of them surely will be asked when interviewing your candidate.
Deep learning engineering is a great solution for companies wishing to optimize their business in a way it’s more data-driven and automated. Additional advantages can be gained by investing in the field even more — for example by hiring additional AI experts, machine learning developers, data scientists, or IT project managers experienced in the field of data.
How to hire all the experts, including deep learning engineers, fast? By getting in touch with our consultants at Ideamotive. We run a best-in-class network of top IT talents looking for new career opportunities. To get the best results for your business, we get you connected only with the experts that truly fit your company and the goals you want to achieve.