Low Risk Careers in Engineering Domain in the Age of Artificial Intelligence
In the technology era everything is becoming automatic, making our lives much easier and comfortable. But how much will it be helpful for employment, or in other words how much is it risky for the labour market or employees? The automation trend or revolution has been started and developing day by day in every industry be it in medicine, engineering, or any other fields. The use of machines, automation, and artificial intelligence is more profitable as it has some of the benefits such as it reduces the human labour, saves time and provides accurate work and others.
With the Automation or AI (artificial intelligence) benefits, there are some limitations such as lack of creativity, problem solving on their own and other. Therefore there are some careers or jobs that cannot replace the humans at current and making this careers as low risk careers from automation.
Benefits and Limitations of automation and AI (artificial intelligence)
Some of the benefits of AI (artificial intelligence) are mentioned below:
Reduce the human labour
Increase customer satisfaction
Improve quality and consistency
Save time and increase workflow
Errorless and accurate work
Some of the limitations of AI (artificial intelligence) are mentioned below:
Lack of social awareness
Lack of creativity
Lack of dexterity of human senses
However, automation and artificial intelligence have as many benefits, though it also has a high risk for jobs and employment. As automation technology is able to replace humans in various fields or careers such as Mathematical Technicians, Insurance Underwriters, Telemarketers, Tax preparers, Watch repairers and many others, and various tasks such as machines reading X-rays, cars driving on their own and respond to the customer service queries, according to McKinsey & Company a global management consulting firm.
According to Mordor Intelligence, an Indian industrial automation market was valued at USD 10.72 billion in 2021 and is expected to grow to USD 23.09 billion by 2027, at a CAGR of 14.26 per cent. Talking about automation and artificial intelligence in engineering and its risk in the engineering field. There is no such risk for careers that are not repetitive, predictable, and routine-level jobs. We have listed the top careers in the engineering domain that are risk-free from automation or artificial intelligence.
Top Careers in the Engineering Domain
You must be thinking what are those careers that are low risk careers in automation or what can be the benefits or limitations of automation? Read on to know more.
Software Developer
A Software Developer is a professional who is responsible for creating programs and developing underlying systems for the functioning of the devices. He or she develops applications for computers and mobiles. A Software Developer designs and creates new systems. He or she writes, does coding, encrypts, and tests, all these tasks require human involvement, a robot or AI cannot do it all on its own.
Locomotive Engineer
Locomotive Engineer is a professional who operates large train services. He or she supervises the sensors and metres and must check the cargo, schedule and route and ensure the smooth functioning of the train on time. A Locomotive Engineer evaluates speed, voltage, amperage, air temperature and regulation therefore this career requires to be alert and has to do everything with the technical things that automation does not work here perfectly as a human employee does.
Computer Systems Analyst
A Computer Systems Analyst is a professional who conducts surveys and identifies database software problems and also addresses the issues related to users and suggests system innovations. He or she strives to improve the infrastructure to use systems effortlessly. A Computer Systems Analyst also analyses the hardware and software systems. A Computer System Analyst job being a computer based job is having a less threat from automation as it requires people to manage the system.
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Web Developer
A Web Developer career requires the development of a website. He or she uses programming languages like HTML, CSS, and JavaScript to create applications and websites. A Web Developer requires to create graphics and themes and creates interfacing, web pages, design, and format. This career is more of creativity that can be possible only by humans as humanoids will not have creative thinking capabilities.
Computer Programmers
A Computer Programmer is a professional who writes codes for software. He or she develops, reviews, does debugging, and manages computer program source code. A Computer Programmer develops a graphical user interface for the common users to access it easily. He or she ensures the proper functioning of computer and software programs, troubleshooting, and database management. Therefore this career is less threatening as it requires people to manage the computers.
Transportation Engineer
A Transportation Engineer is a professional who is responsible for designing and improving transportation systems for people to have safer and more structured traffic flow. He or she designs and constructs various modes of transportation such as trains, ships, buses, roadways, and aeroplanes by analysing the data and identifying the problems. This career involves investigating the roads and infrastructure, identifying routes and designing navigation and other. In India, just with the help of automation these jobs are quite difficult to complete.
Civil Engineer
A Civil Engineer is a professional who designs, constructs, and maintains roads, bridges, canals, dams, airports, sewerage systems, pipelines, structural components of buildings, and railways. He or she builds and constructs new projects by planning and analysing the requirements. A Civil Engineer is required to compute load and grade needs, materials, water flow rates, specification designing and prepare reports.
Manufacturing Engineer
A Manufacturing Engineer is a professional who designs and develops high-quality and economically competitive products. He or she designs a circuit board manufacturing process to improve the quality of the products. A Manufacturing Engineer researches, modifies and tests manufacturing methods using computer technology to have a systematic approach. To design and to test manufacturing methods, there is a use of computers but it requires someone to operate it and a human can do it by understanding all the needs required to be done.
Chemical Engineer
A Chemical Engineer is a professional who plans and designs the layout of the equipment and develops safety procedures for the other employees who are working with various chemicals. He or she uses analytical and mathematical skills to develop various chemicals using various chemistry principles therefore this may not be possible by the machines to do it by themselves.
Conclusion
The above-mentioned careers are low-risk careers from automation and artificial intelligence in the engineering domain. The technology revolution has already started and boosted market productivity in various industries but still, there are some jobs or careers that can be done or are possible by only humans. As technology is developing more and more each day we might also see that technology and automation will be able to do a few of the tasks in the future but not in this present era.
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Questions related to
To become an AI engineer, focus on a strong foundation in mathematics and computer science during your 12th grade, then pursue a Bachelor's degree in Computer Science with an AI specialization from a reputable university in Bengaluru, and actively engage in hands-on projects and online learning to develop your skills.
12th Grade Focus:
Stream:
- Choose the Science stream with Physics, Chemistry, and Mathematics as your core subjects.
- Computer Science:
Opt for Computer Science as an elective subject to gain foundational programming skills.
- Mathematics:
Pay close attention to concepts like linear algebra, calculus, probability, and statistics, as they are crucial for understanding AI algorithms.
- Coding Practice:
Start learning a programming language like Python, which is widely used in AI development, through online courses or self-study.
After 12th:
- Bachelor's Degree:
Major: Pursue a Bachelor's degree in Computer Science, with a focus on Artificial Intelligence or Machine Learning if available.
Key Subjects:
- Algorithms and Data Structures
- Machine Learning
- Deep Learning
- Natural Language Processing (NLP)
- Computer Vision
- Data Analysis
College Options in Bengaluru:
- Indian Institute of Science (IISc)
- RV College of Engineering
- M S Ramaiah Institute of Technology
- Christ University
- BMS College of Engineering
- PES University
Skill Development:
- Programming Proficiency:
Master Python and become familiar with other languages like C++ for advanced applications.
- Machine Learning Libraries:
Learn to use popular ML libraries like TensorFlow, PyTorch, Scikit-learn.
- Data Analysis:
Gain expertise in data cleaning, manipulation, and visualization using tools like Pandas and Matplotlib.
- Project Development:
Work on personal projects in areas like image recognition, sentiment analysis, chatbot development, or recommendation systems to apply your knowledge practically.
Further Education (Optional):
- Master's Degree:
Consider pursuing a Master's degree in Artificial Intelligence or a related field to specialize further.
- Certifications:
Gain industry-recognized certifications in AI and ML from platforms like Coursera, edX, or Udacity to demonstrate your skills.
- Stay updated
AI is a rapidly evolving field, so actively follow industry trends and new advancements.
- Networking:
Connect with other AI enthusiasts and professionals through online communities and conferences.
- Internships:
Gain practical experience by doing internships at AI companies during your studies.
- Continuous Learning:
Be committed to lifelong learning to keep up with the latest developments in AI.
To know all aspects of AI YOU MUST READ ARTIFICIAL INTELLIGENCE COURSE
You seem passionate about your career in the stream of AI (Artificial Intelligence). To make sure your dreams come true! you should first opt for the SCIENCE stream. This would facilitate your journey to take admission into top engineering colleges in India. After that you should sit for JEE mains examination and secure above 99 percentiles this would make you eligible for admission into various NITs that provide specialization in engineering in AI and ML (Machine Learning). But in case you want seats in IITs then you need to attempt JEE Advance exam and get a rank under 3000 or may be less. To make sure all this happen as planned one should join dedicated Coaching Institutes for mentorship, training and guidance.
Hope that helps.
Hello Greetings
Pursuing an M.Tech in Software Engineering from an IIT after completing a BS in Mathematics is possible, but it requires careful planning and preparation. Here's a step-by-step guide to help you achieve your goal:
Eligibility Criteria
1. *Qualifying Degree*: You need to have a Bachelor's degree in Mathematics or a related field (like Computer Science, Statistics, or Physics).
2. *GATE Score*: Most IITs require a valid GATE (Graduate Aptitude Test in Engineering) score in Mathematics (MA) or Computer Science and Information Technology (CS).
3. *Minimum Percentage*: Some IITs may require a minimum percentage (usually 60% or 65%) in your BS Mathematics degree.
Preparation Roadmap
1. *GATE Preparation*: Focus on preparing for GATE MA or CS, as these are the relevant papers for M.Tech in Software Engineering.
2. *Programming Skills*: Develop strong programming skills in languages like C, C++, Java, Python, and data structures.
3. *Mathematics Background*: Leverage your BS Mathematics background to build a strong foundation in mathematical concepts like Linear Algebra, Calculus, Probability, and Statistics.
4. *Software Engineering Knowledge*: Familiarize yourself with software engineering concepts, data structures, algorithms, computer networks, and database management systems.
IIT-Specific Requirements
1. *IIT M.Tech Admission Process*: Each IIT has its own admission process, so research the specific requirements for the IIT you're interested in.
2. *Application Process*: Typically, IITs release admission notifications in March-April, and the application process takes place in April-May.
Top IITs for M.Tech in Software Engineering
1. *IIT Bombay*: Offers an M.Tech in Computer Science and Engineering with a focus on Software Engineering.
2. *IIT Delhi*: Offers an M.Tech in Computer Science and Engineering with specializations in Software Engineering and Data Science.
3. *IIT Kanpur*: Offers an M.Tech in Computer Science and Engineering with a focus on Software Engineering.
4. *IIT Madras*: Offers an M.Tech in Computer Science and Engineering with specializations in Software Engineering and Data Science.
Conclusion
To pursue an M.Tech in Software Engineering from an IIT after completing a BS in Mathematics, focus on:
1. Preparing for GATE MA or CS.
2. Developing strong programming skills.
3. Leveraging your mathematics background.
4. Familiarizing yourself with software engineering concepts.
5. Researching IIT-specific requirements and admission processes.
By following this roadmap, you can increase your chances of getting admitted to a top IIT for M.Tech in Software Engineering.
Have a great day
Hello there,
As a PCMB student, there are several unique fields you can explore beyond typical careers like engineering or medicine. Here are some options:
-
Data Science & AI
: Combining mathematics, statistics, and computer science, this field is in high demand globally.
-
Environmental Science
: Focus on sustainability and climate change, with international career opportunities.
-
Robotics & Automation
: A growing field that combines mechanical engineering, electronics, and computer science.
-
Aerospace
: Work in space research or aviation.
-
Quantum Computing
: A cutting-edge field with global potential.
-
Forensic Science
: Apply science in crime scene investigation, with international opportunities.
-
Marine Biology
: Explore marine life and conservation worldwide.
-
Geophysics/Geotechnical Engineering
: Study the Earth’s physical properties, with roles in energy or environmental sectors.
-
Biotechnology
: Work in genetic engineering, pharmaceuticals, or bioinformatics.
- Sports Science : Focus on sports psychology, management, and biomechanics.
These fields offer exciting careers that are future-proof and internationally relevant.
I hope this answer helps you. If you have more queries then feel free to share your questions with us we will be happy to assist you.
Thank you and wishing you all the best for your bright future.
Hi,
To become Civil engineer, candidate must need to pursue 10+2 with Physics, Chemistry, and Math (PCM) so you have to choose PCM in intermediate and then complete B.Tech in civil engineering to become civil engineer.
Civil Engineering is the oldest branch of engineering that deals with the construction and maintainance of buildings, roads and other structures
The minimum eligibility criteria required to become a Civil Engineer is, candidates need to complete 10+2 with science (PCM) and then pursue B.Tech in Civil Engineering to finally become an Civil Engineer. Admission to B.Tech courses isdone through both Engineering Entrance Exams and Merit based. JEE Main, BITSAT, VITEEE are some of the engineering entrance exams
Hope this information will help you