The growing use of automation, artificial intelligence, and machine learning over the past few years has raised expectations that the economy’s need for people will decrease significantly, eliminating millions of jobs in the process. The people’s psyche was in utter disarray as a result of this prophecy. However, the employment landscape is now completely different.
In addition to gaining popularity in the market, B.Tech in artificial intelligence and machine learning has helped a number of techies in their careers.
This blog will explain what Artificial Intelligence and Machine Learning are and discuss the potential applications of these concepts in the future.
Define Artificial Intelligence and Machine Learning
These days, machine learning (ML) and artificial intelligence (AI) are the most widely utilized technologies for creating intelligent systems.
AI and ML are two aspects of computer science engineering that are interconnected. A subset or application of artificial intelligence (AI), machine learning allows machines to learn from data without requiring extensive programming. AI is a broader concept that seeks to generate intelligence that is comparable to human intelligence.
The artificial intelligence system does not need to be pre-programmed; instead, AI algorithms produce simulations of human thought and behavior. Machine learning, on the other hand, focuses on deriving information from past data or experiences without explicit programming.
Both AI and ML are actively used in our daily lives, and it appears that in the not-too-distant future, it will be impossible to carry out any work without using them.
Opportunities for employment after B. Tech in Artificial Intelligence and Machine Learning
To pursue a profession in B.Tech in artificial intelligence and machine learning, it is essential to understand the revolutionary ideas behind the origin of innovative automation. According to a recent projection, automation may endanger 8 million jobs by 2030, yet technologies like machine learning and artificial intelligence are also predicted to create more job opportunities.
Enrolling in an advanced B.Tech in AI and Machine Learning can help us prepare for this somewhat concerning prediction. You can investigate and land lucrative career choices if you can solve problems in real time, which is highly sought after.
Enroll in an AI and machine learning program at one of the top engineering colleges if you’re driven to advance your skills and land a job in respectable companies.
Advanced Studies after Graduation in AI and ML
After receiving your B. Tech in AI and machine learning, you have the option of enrolling in short-term advanced courses like Natural Language Processing, Computer Vision, Statistics for AI, Python for AI, Data Science and Analytics, etc.
Alternatively, you might apply to a 2-year full-time M. Tech program in AI and machine learning. This master’s level course aims to provide students with advanced conceptual knowledge, technical abilities, and the usage of both theoretical and practical aspects of artificial intelligence and machine learning.
Graph theory, electronic system design, introduction to robotics, embedded systems, and many more topics are included in the M. Tech. Artificial Intelligence and Machine Learning program.
Jobs after B.Tech in Artificial Intelligence and Machine Learning
Graduates of B.Tech in Artificial Intelligence and Machine Learning are projected to enjoy a massive demand in the near future. The probability of you getting a job after graduation is over 90% with a degree in AI and ML, thanks to the growing integration of automation technologies in various business sectors.
Big Data Engineer:
The development of artificial intelligence is not directly related to the work of big data engineers. They are involved in activities including gathering, storing, and analyzing data for later use. They are crucial to the company’s overall development of machine learning procedures.
Salary Breakdown by Experience
- 1-3 years: ₹7.1 lakhs – ₹11.2 lakhs
- 3-6 years: ₹10.5 lakhs – ₹14.6 lakhs
- 6-9 years: ₹13.3 lakhs – ₹18.6 lakhs
- 10+ years: ₹15.2 lakhs+
Business Intelligence Developer:
A business intelligence developer is in charge of processing sizable amounts of data, carefully analyzing, comprehending market trends, and focusing on boosting a company’s earnings. They ought to be capable of understanding how the business runs, spotting issues, and coming up with solutions that would yield profits.
In conclusion, a Business Intelligence Developer needs to have a strong business sense to ensure efficient and effective operations within the company. As a result, they manage the entire workflow, from creating and preserving data for cloud-based platforms to optimizing operations.
Salary Breakdown by Experience:
- Junior BI Developer: ₹2.8L – ₹3.7L
- Average BI Developer: ₹4.4L – ₹9.3L
- Senior BI Developer: ₹11.1L – ₹22.1L
- Lead BI Developer: ₹12L – ₹31L
Data Scientist:
A Data scientist’s main duties include gathering, analyzing, and interpreting data and insights to offer the business efficient solutions. Regression, predictive analytics, and other techniques for insight production are used for this. They anticipate the future and address commercial issues.
Salary Breakdown by Experience:
- 0–2 Years: ₹6–₹14.4 lakhs.
- 3–5 Years: ₹15–₹30 lakhs.
- 6–9 Years: ₹29.2–₹32.2 lakhs.
- 9–12 Years: ₹33.4–₹36.9 lakhs.
Machine Learning Engineer:
In the field of artificial intelligence, machine learning engineers are among the most sought-after job categories. Building, testing, evaluating, and improving self-running software that supports machine learning programs is their main responsibility. Software, natural language processing, statistics, applied mathematics, and tool practicality are among the skills they pick up.
Salary Breakdown by Experience:
- 1-3 years: ₹5.2 lakhs – ₹8.86 lakhs
- 3-6 years: ₹7.6 lakhs – ₹11.6 lakhs
- 6-9 years: ₹13.3 lakhs – ₹18.6 lakhs
- 10+ years: ₹18.5 lakhs+
AI Data Analyst
Data mining, data cleansing, and data interpretation are tasks carried out by AI data analysts. They are crucial in removing or filtering out extraneous data from a system in order to make room for the needed data.
Salary Breakdown by Experience
- Entry-Level/Fresher: ₹4L – ₹8L per year.
- Junior AI Engineer: ₹2L – ₹7L per year.
- Data Analyst (1-4 years): ~₹5 LPA.
- Mid-Career (5-9 years): ~₹8 LPA.
- Senior/Experienced (10+ years): ₹11L – ₹24L+ per year.
Robotics expert
Mechanical devices are created by robotics scientists to carry out numerous duties. They are the highly qualified individuals responsible for the development, design, and research of robotics systems. They are the ones who make sure robots are affordable, dependable, safe, and will increase productivity.
Robotics experts are in high demand all around the world as a result of the development of technology.
Salary Breakdown by Experience:
- 3–6 years: ₹6.1–₹7.4 LPA.
- 6–9 years: ₹8.5–₹10.2 LPA.
- 12+ years: ₹15–₹16.5 LPA.
Research Scientists
A research scientist performs a variety of interdisciplinary tasks. They are the ones who concentrate on initiatives based on both machine learning and artificial intelligence.
They must be proficient in areas like parallel computing, distributed computing, algorithms, and computer architecture to do this. They spend most of their time working on computer perception, deep learning, reinforcement learning, and more.
Salary Breakdown by Experience:
- Entry-Level (0–3 years): ₹5.3 Lakhs – ₹7 Lakhs
- Early-Career (3–6 years): ₹6.6 Lakhs – ₹9 Lakhs.
- Mid-Career (6–9 years): ₹8L – ₹24L
- Senior/Experienced (9–12+ years): ₹9.3 Lakhs – ₹11 Lakhs+
Conclusion
To have a bright future in the field of AI and ML, one needs to study long and hard to get a B.Tech in Artificial Intelligence and Machine Learning degree. Do not hesitate to ask for help from your peers and alumni, as they can offer you insights on how the industry operates and what opportunities lie ahead for you in the industry. B. Tech colleges for AI and ML also provide placements and internships to help students learn practical skills and learn about the challenges of real-time working.
FAQs
Q1. Which industries offer jobs after B. Tech in Ai and Machine Learning?
- Manufacturing
- Health Care and Social Assistance
- Finance and Insurance
- Educational Services
- IT
- Public Administration
- Administrative and Support
- Professional, Scientific, and Technical Services
- Retail Trade
Q2. What are the eligibility criteria for B. Tech in AI and ml?
All applicants must clear 12th from the science stream with Physics, Computer Science, and Mathematics as core subjects from a recognized board. They must also score above 55% in aggregate and clear a National/State/College-level entrance exam.
Q3. Which is the most common entrance exam for B. Tech?
JEE Main and JEE Advanced are the most common national-level entrance exams for B. Tech admissions.
Q4. Is direct admission to B. Tech possible?
Some private B. Tech colleges in Greater Noida offer direct admissions based on merit in various B.Tech specializations.