Artificial Intelligence (AI) is a trending technology topic nowadays, including Government Jobs in artificial intelligence and individuals are showing curiosity about AI and careers in that field, especially government jobs. Currently, AI can be applied to various production industries, from agriculture to health care and education, and more. But in this article, we will mainly focus on the government jobs offered in AI and various fields of AI in which the government is looking for investment. Artificial Intelligence (AI) is seen these days with a deep understanding of the prophetic. Ultimately, there is no shortage of studies predicting the acquisition of human jobs by automation.
We have seen many developments in this technology, from AI-based customer service chatbots to self-driving cars. If you are looking for a career that offers sustainability, development, and endless prospects, AI is a better choice for future goals. Presently, the Indian government has taken several initiatives to create government jobs in AI. It is officially published by the Government of India which talks about the challenges faced in India with respect to the implementation of AI in specific sectors for health, agriculture, smart cities, etc.
For instance, the government is looking forward to investing in AI researchers in various educational institutions. That is, the researcher or scholar working on AI will benefit in terms of stipend and facilities including fellowships and Ph.D. scholarships. Such opportunities are created in AI but you must be thinking about specific roles in government jobs in AI. Another important work done by the government is to develop a Center of Excellence which is to cultivate your skills and develop them additionally.
After detailed functional analysis, SSC NASSCOM has identified job roles in artificial intelligence. Here is a list of the top careers in the Artificial Intelligence field, along with the skills needed to acquire them.
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1. Artificial Intelligence/ Machine Learning (ML) Engineer
To enter the field of machine learning engineering, you will need a degree in computer science with specialist knowledge of machine learning. Key tasks to perform as a Machine Learning Engineer include Evaluating the technical performance of algorithmic models and Developing software code to support the deployment of algorithmic models. Key software skills needed for this field are Apache Maven, PowerShell, COBOL, Ruby, Python, and C. ML Engineers are likely to work as software developers who are required to perform tasks such as data engineering, and machine learning performance, and improve machine learning investigations. The minimum qualification to break into this field is Bachelor’s degree in Engineering/Technology/Statistics/Mathematics/Computer Science and having the opportunity to develop your career as an ML Engineer with wide opportunities in government jobs.
2. AI Researcher
Spanning the space between academia and a corporate role, AI researchers push the boundaries of the subject through tireless study and investigation. Studies recommend that there may be a severe lack of PhD-educated AI researchers in India, opening up extensive job opportunities for candidates with the right qualifications. Aspirants can specialize in anything from Machine Learning to Visual Recognition and in any branch of AI and increase their chances of Government Jobs.
3. Data Scientists
The candidates and individuals who are interested in Data Scientists in AI technology Relying on large amounts of data for optimization and efficiency through AI, the role of a data scientist are critical to its growth. A data science degree is not essential for this role but data scientists are highly qualified in their stream withholding at least a master’s degree. Key tasks to do as a Data scientist include importing data as per specifications, performing exploratory data analysis, performing research and design of algorithm models, Defining business outcomes, and creating visualizations from the results of the analysis. Key software skills needed for AI Data Scientists are Python, Java, ABAP, Cloudera, Hortonworks, and AWS.
4. Data Architect
After analyzing a company’s requirements and data sources, Big Data architects create a blueprint for managing, merging, and sustaining the ever-increasing amount of data generated every day. The job of data architects is to arrange and form the organization’s data management system. The main job to perform as a data architect is to design new data architecture as per specifications, maintain existing data architecture, implement data storage network solutions and develop data integration as per specifications. The major software skills required for this field are Apache Pig, Oracle PL/SQL, IBM DB2, Oracle JDBC, Apache Hive, MongoDB, and MySQL. The minimum qualification to enter this field is a Bachelor’s degree in Engineering/Technology/Statistics/Mathematics/Computer Science and there is a vast opportunity to develop a career as a data architect with wide opportunities in government jobs.
There are various career options in the field of Artificial Intelligence (AI) such as Director of analytics, Principal scientist, Computer vision engineer, Data engineer, Algorithm engineer, Research engineer, Computer scientist, and Statistician. If one wants to pursue a career in Artificial Intelligence, they can learn and develop various skills which are very essential to get into the Artificial Intelligence (AI) field even if they have not completed their graduation from a tech background.
5. Learn and Develop Skills needed in Artificial Intelligence
There are many skills that can be expected to enhance a career in artificial intelligence including Government Jobs in artificial intelligence and while there are many branches of AI, most of them have some key similarities. You can learn many of these skills through self-practice, learn through online courses, or develop through courses in college life as you complete a bachelor’s degree. You will see many jobs in AI relying on ability in programming languages and coding. You can also visualize the performance of working with a wide variety of computer systems. Some of the technical skills required for construction include Languages: Python, C/C++, Database management: Couchbase, Data analysis, and statistics: R, AI platforms: IBM Watson, Google Cloud AI, Microsoft Azure AI, Data acquisition systems, Digital marketing strategies, Industry knowledge.
6. Job-oriented Certifications in Artificial Intelligence (AI)
Even if you don’t have a degree in this field, certification indicates to conceivable employers that you’re serious about career objectives that make you a more attractive candidate. But If you have already a bachelor’s degree in a related field with AI, think about enrolling in courses to understand various technical skills you’ll need to work in artificial intelligence. There are a number of institutions out there that are offering a number of AI certification courses that can have a huge impact on your career, including
- Artificial Intelligence: Implications for Business Strategy by MIT, Certified Artificial Intelligence Engineer, Certified Artificial Intelligence Consultant, Certified Artificial Intelligence Scientist by USAII, Google AI for Anyone at edX, Microsoft Certified: Azure AI Engineer Associate at Microsoft, AI for Business at Coursera, Government Jobs in artificial intelligence, Artificial Intelligence for Business at udemy, IBM Applied AI at Coursera, edx course of Ethics in AI and Data Science.
In addition to the jobs listed above, the development of AI is expected to lead to many support professionals, which will open up huge chances for non-technical individuals as well. Some of these ambitions and schemes projected by the government will assist you to explore the job opportunities that you should target and also the regions where you can focus your knowledge. These bits of information can make you clear about the specific profiles of various career opportunities including the government job sector. With huge advances in AI on an almost daily basis, technology is balanced to change society. With a world of possibilities before it, there has never been a better time to adopt AI.