Career in Deep Learning Engineering

Deep learning is a branch of Machine Learning (ML). It's made up of a neural network with three or more layers.

Input layer: Data enters through the input layer.
Hidden layers: Hidden layers process and transport data to other layers.
Output layer: The final result or prediction is made in the output layer.

Neural networks by consuming and analyzing massive amounts of data attempt to model human learning. This data is also called information or training data.

Education Requirements for Deep Learning Engineers

To build a career as a Deep Learning Engineer you should have a fair understanding of Machine Learning (ML). Career in Deep Learning can begin with a degree in Computer Science, Mathematics or Statistics etc. Knowledge of coding languages is mandatory. Candidates with a higher degree like MS, M.Tech or Ph.D gets added advantage in terms of job position and salary etc. Knowledge in the workings of common languages such as Python is vital for a career in deep learning.

Enhancing software engineering skills like data structures, Github, sorting, searching, optimizing algorithms, and understanding of the software development life cycle is critical to develop the sophisticated skills needed for a career in deep learning.

Typical Job Positions in Deep Learning

As a Deep Learning Engineer you can apply for the following type of job positions:

Software Engineer
Research Analyst
Data Analyst
Data Scientist
Data Engineer
Neuroinformatics
Bioinformatician
Image Recognition
Software Developer
Research Scientist
Research Fellow
Instructor for Deep Learning
Applied Scientist
Full Stack Web Developer for Deep Learning
Lead Manager – Deep Learning

Deep Learning Engineers Responsibilities

Deep learning engineers are responsible for developing and maintaining machine learning models. Generally they work with a team of data scientists, software engineers, and other specialists to create new AI-powered systems that can accomplish jobs like image recognition or natural language processing.

Deep Learning Engineering Job Scope

AI and Machine Learning will rule the IT job market for many years from now. New companies are coming every day in these fields. Hiring Managers will always be in hunt for people with knowledge in Deep Learning Engineering. Many estimates suggest that Deep Learning Engineering Jobs will grow at the rate of 50% annually. It’s only the beginning; AI and ML are in the budding stage and to get maximum output of these fields Deep Learning knowledge will be in high demand.

Deep Learning Engineer Skills

To work as Deep Learning Engineer you should have following skills:

Working knowledge of programming language useful to work with Deep Learning, for example, Python or C# etc.
Fair knowledge of how computers work and Data Structure
Mathematics for Machine Learning
Front End/UI Technology & Deployment Services
Knowledge of Cloud Computing platforms

Deep Learning Engineers work with engineering and administrative groups. Hence outstanding written and oral communication skills are required. They should be a team worker with a desire to experiment with computers and bring new technologies in place.