Find the Best Deep Learning Expert Jobs

What does a deep learning expert do?

A deep learning expert writes code and algorithms that power what we think of as artificial intelligence. These algorithms are trained to recognize patterns across large data sets and respond to certain conditions. An example of a project a deep learning expert may be used for is image recognition in video and still pictures. Rather than train a machine to recognize every possible image of a car, deep learning experts train algorithms to recognize the general qualities of a car in order to enable it to learn to identify cars in novel data.

A data learning expert will generally be expected to have experience with both data science and machine learning principles, as well as programming experience in order to implement the deep learning algorithms. Python is a popular machine learning programming language, though Rust, Go, and C++ are also popular.

What skills do I need to become a deep learning expert?

A deep learning expert will generally be expected to hold a bachelor’s degree in computer science, as well as potentially holding a master’s degree specializing in artificial intelligence and machine learning. There are exceptions for developers who can demonstrate a solid understanding of popular machine learning tools, such as having code samples or projects using TensorFlow on open-source repositories such as GitHub.

Artificial intelligence and machine learning

A deep learning expert must have a solid understanding of artificial intelligence and machine learning principles, such as how to reason about a problem and develop an algorithm that can receive data and identify patterns within the data. Deep learning experts may also work on existing algorithms and data sets in order to tweak them for various desired outcomes.

Programming

Very often, deep learning experts will be expected to write the code for the algorithms they have developed. This means that a deep learning expert must have a solid understanding of one or more programming languages and frameworks that are popular within the deep learning community. JavaScript and Python are particularly popular programming languages for deep learning projects and have many software libraries and frameworks dedicated to deep learning.

Data science

Artificial intelligence and machine learning algorithms learn by processing reams of data, often in real time. A deep learning expert should have an expert understanding of data science principles and techniques in order to be able to extract value from data sets. Knowing what to prioritize, how to find and sort particular data among a set, and how to do so efficiently are all invaluable data science skills that deep learning experts must know.

Any good data scientist should have a firm grasp of the above skills. Additionally, they should have experience with specific fields of deep learning, such as artificial neural networks, convolutional neural networks, natural language processing, big data visualization, computer vision, data structures, and machine learning models.

What are the core deep learning expert job responsibilities?

A deep learning expert will be expected to work with large data sets and algorithms to create apps and software that make use of artificial intelligence and machine learning. Deep learning experts may be expected to create new algorithms or work on existing ones, maintaining them and tweaking parameters to optimize results as desired.

Deep learning experts may also build tools that use outcomes from deep learning algorithms. This could be in applications such as online loan application assessment, where financial institutions have an incentive to analyze and make decisions regarding the creditworthiness of applicants within seconds in order to be able to offer decisions on loan services as quickly as possible without accepting too many bad debtors.

Should I get a deep learning expert certification?

In addition to developing your skills, obtaining a professional certification can help your Upwork profile stand out. Generally, deep learning experts will be expected to have either a bachelor’s or a master’s degree in computer science, but there are also a number of institutions that offer certifications dedicated to deep learning. These certifications include:

• Certified Deep Learning Expert Certification (CDLE – AI3060)
• IBM Hands-on Artificial Intelligence
• Machine Learning with TensorFlow on Google Cloud Platform Specialization

How valuable a particular certification is will generally depend on the particular tools and services that each team works with. For example, if a team works with TensorFlow and Google Cloud, then a certification specific to that will be considered more valuable than one for a different platform. Specializing in a particular tool or platform is recommended, as it allows deep learning experts to extract the most value from a tool or service and apply it efficiently.