Deep Learning (DL) as a Career
Deep Learning (DL) 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 endeavour to model human learning by consuming and analysing massive amounts of data, also called information or training data.
Education Requirements for Deep Learning/DL Engineers
To become a Deep Learning Engineer you should have a fair understanding of Machine Learning (ML). Career in Deep Learning can be started with a degree in Computer Science, Mathematics or Statistics etc. Knowledge of coding languages is mandatory. Candidates with a higher degree like Masters or Ph.D gets added advantage in terms of job position and salary etc. Experience in the intricacies of common languages such as Python is essential 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 Jobs offered in Deep Learning
As a DL 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 accountable 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 Engineers Job Prospects
AI and Machine Learning will rule the IT job market for many years from now. New companies are coming everyday in these fields. Hiring Managers will always be in hunt for human resources with expertise in Deep Learning Engineering. Many estimates suggest that Deep Learning Engineering Jobs will grow at the rate of 50% per year. Whether we take such estimates as correct or imaginary, candidates with knowledge and expertise in Deep Learning will be in demand in the IT job market for many years. It’s only the beginning; AI and ML are in nascent stages and to get maximum out of these fields Deep Learning knowledge will be in high demand.
Deep Learning Engineers 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
Often Deep Learning Engineers work with teams. Hence excellent written and oral communication skills are required. They should be a team worker with passion to experiment with computers and bring new technologies in place.
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