We are all living in an era that is ruled by technology. In a world like today’s one of the most sought after and promising careers is the artificial intelligence. Keeping in mind the current statistics there are more than 90,000 job postings that require the key skill as machine learning in LinkedIn and other job platforms. Since machine learning marks a career path to an unlimited number of industries, this is the right time for all aspirants to acquire their skills in machine learning. The kind of growth artificial intelligence specialist role has seen since the past few years is more than 70 percent. Also as per statistics at least 50 percent of enterprise applications will have embedded AI technology. In this article, we will discuss how to become a machine learning engineer in India, machine learning engineer roles and responsibilities, machine learning engineer career and career growth, etc.
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How to Become a Machine Learning Engineer in India – Overview
As said artificial intelligence is one of the emerging most promising careers in the world. About 30 percent of the companies are adding the role of data engineers to their list. Also, there are new roles being created under the tag of machine learning architecture.
Hence as the platform is evolving machine learning engineers will have to fit in to meet the needs of data science, machine learning, and data analytics organization.
Basically, a machine learning engineer must understand the best practices in the industry in order to integrate and establish machine learning models. Altogether the duty of a machine learning engineer is not only to develop a code that works but also to develop a code that can function in the real world.
Summing up the points, a machine learning engineer must have an undivided focus on the production and model deployment. In order to start their career as a fresher in machine learning candidates must have a degree or most preferably master’s education in computer science, physics, engineering, or robotics degree along with deep knowledge in c, c++, python, java, scala, Julia, and other enterprise languages.
Having a strong knowledge regarding databases will also definitely be an added advantage. The average pay scale of machine learning engineers in India is about Rs 7,00,000 annually. In the coming sections let us discuss the roles, responsibilities, career and career growth of a machine learning engineer in India.
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Machine Learning Engineer – Roles and Responsibilities
As machine learning engineers candidates will be working in the branch of artificial intelligence. Key responsibility of Machine learning engineers will be to create programs and algorithms, wherein machines will have to take appropriate actions without being directed. An example of the AI technology can be a self-driven car.
Other key skills that a machine learning engineer should possess include computational statistics, data mining, data analysis, predictive analytics, and mathematical optimization.
Key responsibilities of a data learning engineer include
- Understanding the use of computer science fundamentals
- Knowledge of data structures, computability, algorithms, computer architecture, and complexity
- Must possess mathematical skills for performing computations and to work with algorithms
- Effective execution of programs by isolating issues that need to be resolved
- Bult data and model pipeline by collaborating with data engineers
- Demonstration of end to end understanding of applications
- Bringing code to production by managing data pipelines and infrastructure
- Creating algorithms depending on statistical modeling procedures
- Built and maintain scalable machine learning solutions
- Predictability of unforeseen instances with the help of data modeling and evaluation strategy
- Effective communication with non-programming experts
- Analyzing complex datasets in order to extract ideas for deciding an appropriate technique
- Constant research to implement best practices for improving the current machine learning infrastructure
Machine Learning Engineer in India – Career Growth
As a machine learning engineer, your skills will be in high demand in various sectors.
You can start off by possessing graduation in a related field to work as a machine learning engineer. After a fair amount of times candidates can quickly senior levels and become team lead. Candidates can also work in multinational companies for progressing your career to achieve the best salaries. In order to have a steady career growth candidates must ensure that they possess the best machine learning skills. Candidates can also work remotely showcasing their machine learning skills and attract clients. Freelancing is also an excellent way to grow your career in the field of machine learning.
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