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Who is a Deep Learning Engineer?
Big data is an immense amount of information that can be collected and stored in various forms. Traditional software cannot handle this type of data due to its unstructured nature. A data scientist or software developer is a person who is dedicated to analyzing and storing this data. A Deep Learning Engineer is responsible for identifying, extracting, and delivering data in a format that's usable. Career as Deep Learning Engineer helps with the documentation of the data. In addition, a Deep Learning Engineer can handle various other tasks such as dealing with cloud computing environments.
Deep Learning Engineer in a Nutshell
A Deep Learning Engineer is an IT professional who is responsible for developing and managing data pipelines. He or she is knowledgeable about analyzing and storing data collected from various sources. A Career as a Deep Learning Engineer needs to help the data scientists and analysts to create effective data sets.
Quick Facts for Deep Learning Engineer
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Industry
Technology, Information Technology
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Average Salary in India
₹69000
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Suitable for
Male, Female
Anyone interested in a Career as Deep Learning Engineer should consider it, regardless of gender. There are no gender-specific restrictions in this field.
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Any special needs
Yes
Deep Learning Engineer jobs are suitable for individuals with special needs. This position requires a desk-based job, and it doesn't require regular travel. Remote work and flexible work arrangements are also available for these candidates.
Table of Contents for Deep Learning Engineer
What is the role of Deep Learning Engineer?
A Deep Learning Engineer is responsible for analyzing and predicting the behavior of various data sets in a large-scale computing environment. He or she is also tasked with interacting with various systems and databases to find relevant sets of data. Career as Deep Learning Engineer requires to provide organizations with valuable insights by analyzing and predicting the behavior of various data sets. They can also help them identify market trends and improve their performance. These individuals work in various industries such as finance, healthcare, and government.
Designing
The Role of Deep Learning Engineer is to and maintain large-scale data processing systems. They collect and analyze data from various sources. There are two types of data: structured and unstructured.
Data Handling
The role of Deep Learning Engineer involves handling the raw data that's collected by various applications and processes. He or she then uses various algorithms and transformations to create a data structure that can be used for analysis.
Data Insights
The role of Deep Learning Engineer involves working with the data scientists and engineers to transform the collected information into useful and meaningful reports. He or she is also responsible for ensuring that the data is processed and stored in a manner that is compliant with various regulations.
Evaluation
The ideal candidate for this role will have the necessary skills to analyze, compare, and improve data pipelines. He or she will also be required to develop data lifecycle designs, data ontology alignment, and elastic search approaches.
Preparing Data Pipelines
As a Deep Learning Engineer, you'll be responsible for developing and implementing automated data pipelines that will transform and feed data into production environments.
Types of a Deep Learning Engineer
This career provides a wide variety of Deep Learning Engineer career options. In this section, we have discussed some of the types of a Deep Learning Engineer that are listed below:
Data Engineer: Data Engineer is one of the types of a Deep Learning Engineer. He or she is responsible for creating reliable data architectures and interface designs to collect large amounts of data from various sources. He or she transforms the data into useful information for analysis.
Big Data Engineer: Big Data Engineer is a professional who is responsible for identifies, extracts and delivers data in a usable format. He or she ensures that the data is valid, provides documentation assistance and deals with cloud computing environments. Big Data Engineer helps the organizations with data analyses, identifies market demographics and predict the upcoming changes.
Also Read: Career as Software Developer
What is the workplace/work environment of Deep Learning Engineer like?
A Career as Deep Learning Engineer typically needs to works from the office, and he or she is responsible for developing, testing, and maintaining data processing systems. This type of job requires strong communication skills, and it can be done from home or on remote assignments. In addition to being able to communicate effectively with colleagues, the ideal candidate also needs to be comfortable working with data science and business analysts.
Does Deep Learning Engineer require travelling?
Likely
A Deep Learning Engineer's career doesn't require frequent travel. Instead, it usually involves working in an office setting.
Employment Shifts
Full Time
A data engineer typically works a day-shift, which is from 9 am to 5 pm. Their work hours may vary depending on the organization.
Employment Nature
Contractual, Permanent
A Deep Learning Engineer can find both permanent and contractual positions. Job seekers can look for positions through various recruitment sites such as Glassdoor and Indeed.
Work Place
Office
An engineer in the Big Data field works from home or remote locations. He or she may also be able to work from an office.
Presence in Geographical Area
Semi-urban, Urban
A Deep Learning Engineer can find numerous employment opportunities in various metropolitan areas such as Hyderabad, Bengaluru, New Delhi, Mumbai, and Pune.
Time Pressure
Likely
Deep Learning Engineers are under tremendous pressure to complete tasks within a certain timeframe. Extending deadlines can negatively affect their professional outlook.
Overtime Details
Sometimes, a Deep Learning Engineer may be required to work additional hours in order to meet deadlines or to work on projects that are on priority.
Weekly Hours of Work
Min 40 Hours
A Deep Learning Engineer typically works around 40 hours per week. Their work hours may vary depending on the company they work for.
How to become a Deep Learning Engineer?
Steps to become a Deep Learning Engineer
In this section, we will explore the pathway to becoming a Deep Learning Engineer in India. We have broken down the essential steps and resources needed to embark on this exciting journey in the field of artificial intelligence and machine learning. Whether you are a novice or a seasoned programmer, this guide on how to become a deep learning engineer in India will provide you with valuable insights into the skills, education, and opportunities required to thrive in this rapidly evolving field within the Indian context.
What are the skills and qualities required to become a/an Deep Learning Engineer?
In order to be successful in a Deep Learning Engineer job, candidates need to have the necessary deep learning skills to perform duty.
Machine Learning: A Deep Learning Engineer is required to have the necessary skills to process large amounts of data in a fast and efficient manner. This individual must also be familiar with the various algorithms used in the data ingestion process.
Knowledge of Cloud Computing: Big Data is a type of data that can be stored and processed in the cloud, which provides better scalability and allows for distributed access. Some of the popular cloud services that are used for this type of data are Amazon Web Services, Google Cloud, and Azure Data Lake. A Deep Learning Engineer should be knowledgeable about the various security levels of these services.
Hadoop: Hadoop has varying levels of scale depending on its mode and data. A Deep Learning Engineer should know which mode and which data set he or she should use to achieve their goals.
Analytical Skills: A Deep Learning Engineer must have the necessary skills to analyze and visualize complex data sets. He or she should also be able to use the analytical tools to find problems. This individual should additionally be able to apply certain science and math skills to improve their knowledge.
Knowledge of Data Visualisation: The role of a Deep Learning Engineer is to be able to visualize the data. This is very important to increase creativity and imagination.
Popular Online Engineering Courses and Certifications
Which certifications and internships can be helpful in becoming Deep Learning Engineer?
These are the various courses that are relevant to Deep Learning Engineer certification. Aspirants can upgrade their skills and knowledge in these courses to get a better job in the field.
Internship Availability
Individuals who are interested in becoming a Deep Learning Engineer must have the necessary skills to succeed in this field. An internship provides them with the necessary opportunity to gain knowledge and develop their skills. Having a prior internship can help them land a job interview. Besides being able to learn the necessary skills, an internship also helps candidates develop their resume. Most students can opt for an internship after they have completed their college degree.
Career Path Progression for Deep Learning Engineer
Junior Deep Learning Engineer: As a Junior Deep Learning Engineer, you'll be responsible for ensuring that the pipelines used to store and retrieve data are secure and can be accessed by multiple users. You'll also work under the supervision of a senior engineer.
Senior Deep Learning Engineer: A senior Deep Learning Engineer is responsible for developing and implementing scalable solutions that are designed to meet the needs of customers. He or she is also expected to build data pipelines and extract and transform data.
Deep Learning Engineer Jobs and Salaries
Junior Deep Learning Engineer
- Average Salary 58000
Job Description
Junior Deep Learning Engineers are responsible for developing and maintaining solutions that help companies collect and analyze large amounts of data. They are also required to ensure that the data is quickly accessible and used by their downstream users.
Salary Description
The Junior Deep Learning Engineer salary in India is around Rs. 7 lakh per annum depending on the skills and academic qualifications of the candidate.
Senior Deep Learning Engineer
- Average Salary 80000
Job Description
A senior Deep Learning Engineer is responsible for overseeing the development and maintenance of data pipelines. He or she is also responsible for providing guidance and technical support to the business users. This individual works closely with the security, risk, architecture, and business resilience teams.
Salary Description
The salary of a senior Deep Learning Engineer salary in India depends on various factors such as his or her skills, experience, and expertise. According to the average salary of a Deep Learning Engineer, one can expect to earn around Rs. 9 lakh annually.
What is the job outlook for Deep Learning Engineer?
Due to the increasing demand for Deep Learning Engineer jobs , there has been a fierce competition for the best talent. Many companies are now hiring experienced individuals to handle the various tasks related to analyzing and capturing data. These individuals are required to have the necessary skills to transform their data into actionable insights.
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