Artificial Intelligence and Machine Learning Developer
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Artificial Intelligence and Machine Learning Developer
Artificial Intelligence belongs to a field of science and engineering in which studies and research aim to develop intelligent computer machines that can perform tasks with human intelligence. It includes speech recognition, visual perception, logic and decision, multi-language translation and more. Digital bits of data are interpreted and turned into significant experiences and outcomes with aid / assistance of robotics, automation and sophisticated computer software and programs.
Artificial Intelligence is a branch of computer science that makes use of algorithms to simulate human behaviour. AI is used to solve complex problems by simulating human-like thinking capabilities and behaviours. Machine learning is a subset of AI as it can learn from the past data and experiences and does not have to be explicitly programmed.
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Do register on www.eduberance.com/sign-up and
After you register and verify your email, complete your SWOT and IKIGAI from the profile section.
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Do share your latest CV at [Confidential Information]
Post that our HR team will use our jobs database to match with your profile.
You will get notified in case of matching opportunities.
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Let's dive back to the career details
Starting salary
35000
Career Details
What You Need To Know About This Career Option
Is Machine Learning different from Artificial Intelligence
Well Machine Learning is actually a sub domain of Artificial Intelligence. AI is a bigger concept to create intelligent machines that can simulate human thinking capability and behaviour, whereas, machine learning is an application or subset of AI that allows machines to learn from data without being programmed explicitly.
What does an AI / ML professional do
Artificial intelligence engineers develop programs and codes, create models that help in training the complex networks of algorithms that make up AI in order to mimic the human brain to make decisions based on data and these algorithms.
This role requires combined expertise in software development, programming, data science and data engineering. The duties of the Machine Learning Professional includes the study and conversion of data science prototypes.
The job functions include design and development of Machine Learning systems and schemes. They are also responsible to perform statistical analysis and fine-tune models using test results. The key is to find available datasets online for training purposes and create prototypes relevant to the problem at hand.
What Courses do I need to pursue to become an artificial intelligence programmer or machine learning enabled
Courses
Name of the Institute
Name of the Course
Duration
IIT
B.Tech
4 years
IIT
M.Tech
2 years
IISc
M.Tech
2 years
Amity University
B.Tech
4 years
Amity University
BBA
3 years
Amity University
BBA (international Business with AI)
3 years
Amity University
MBA (AI and Consulting)
2 years
Amity University
MBA (International Business with AI)
2 years
Vellore Institute of Technology (VTI)
B.Tech (Computer Science and Engineering) in AI and ML
4 years
Vellore Institute of Technology (VTI)
B.Tech (Computer Science and Engineering) in AI and Robotics
4 years
Vellore Institute of Technology (VTI)
M.Tech (Computer Science and Engineering) in AI and ML
2 years
Sharda University
B.Tech in AI and ML
4 years
SRM Institute of Science and Technology
B.Tech in AI and ML
4 years
SRM Institute of Scienceand Technology
B.Tech in AI
4 years
Chandigarh University
BE (Computer Science Engineering) in AI and ML
4 years
What is the eligibility criteria for graduating in artificial intelligence
10+2 with Mathematics and Science (Physics) is recommended
College Education: An aspirant must choose Maths and Physics as core subjects in grades 11 & 12. After this, one can pursue a certification in artificial intelligence or choose to do a diploma or graduation course.
A BTech followed by an MTech in Artificial intelligence along with computer science is usually the popular choice. You learn a number of practical skills and acquire knowledge and training in this course.
Skills needed to become a data scientist
A student with good understanding of the coding languages, good at maths, and has a flair for programming will be successful in pursuing artificial intelligence courses. An in-depth understanding of algorithms and processing methodology will be useful in understanding machine learning and artificial intelligence.
What mindset is required to pursue a course in Artificial Intelligence
Apart from the technical know-how, you would also need certain soft skills such as good communication skills, ability to work in a team, creativity, come up with innovative ideas, ability to solve complex problems, logical and analytical thinking.
Since this is an emerging sector and a difficult one to grasp, students with a mindset of perseverance, consistency, risk taking, analytical abilities are more likely to succeed in this fast growing career.
Do I need to clear any Entrance Exams to become an Artificial Intelligence Professional
The entrance to the UG and PG courses are via JEE Main or GATE scores.
It is not compulsory for you to clear any entrance test to become a machine learning or artificial intelligence professional. However, for admission into any of the IITs, one needs to qualify the JEE Mains.
Many colleges have their own entrance exams such as Vellore Institute of Technology has an entrance exam called VITEEE. Other entrance exams are UPESEAT, SRMJEE, SUAT etc.
Doing a course from these prestigious institutions will boost your career prospects and getting into these colleges will require you to clear the required entrance tests and procedures.
Leading Institutes offering AI Courses in India
AI Colleges in india: Colleges that offer an engineering degree in AI are:
IIT Hyderabad,
IISc Bangalore,
Indraprastha Institute of Technology Delhi,
Amity University Noida,
Vellore Institute of Technology Vellore,
Chandigarh University,
Jain University Bangalore,
SRM Institute of Science and Technology Chennai,
DyPatil International University Pune, and
Sharda University Greater Noida.
Some very popular institutions besides the ones mentioned above for pursuing courses for Artificial Intelligence and Machine Learning are
IIT Bombay, IIT Kharagpur, IIIT Hyderabad, Allahabad, IIT Madras, University of Hyderabad
Since this is a very in demand course, most universities with BTech and MTech Programs are now gearing up to offer this course.
What is the job scenario in Artificial Intelligence
There is plenty of scope for a career in AI and ML as it is in demand for the role it plays in most of the businesses today. Some of the job profiles are Data Scientist, Data Analyst, AI Specialist, Machine Learning Engineer, Robotics Engineer etc.
How much can I earn if I become a machine learning professional
A number of factors play a role in determining the salary of an AI and ML engineer. Based on the location of the job, specific skill sets and experience your salary is determined. A fresher could earn from Rs 5,00,00 - Rs 6,00,00 per annum. Whereas an experienced professional can earn upto Rs 50 lakhs per annum.
Pros of a career in Machine Learning
A career in AI shows a lot of promise as it has invaded all businesses and is here to stay. With fast advancements in this field, you may want to keep abreast of the latest developments to know and understand better how to kickstart your career. Here are a few tips that might help you with this.
You must be a good programmer. Start by learning the various programming languages such as Python, java, javaScript, prolog, LISP, C++ etc.
Additional skills are always desired. You must learn skills such as Natural language Processing (NLP), ontology, data pre-processing, graphics, algorithm design, neural network, pattern recognition, statistical, knowledge representation and reasoning, cognitive science theory, physics etc.
While pursuing a degree, you can also opt to study online courses in AI and ML which can boost your resume. This will give you an edge over others.
Practice algorithms both basic and advanced that you might have learned before. Linear regression, Support Vector Machine, Gradient Descent, K-nearest Neighbour etc. to name a few.
Career Tip 3 for AI ML Careers
A strong background in maths and statistics goes a long way in helping you understand the complex world of AI and robotics. Thus you must refresh your skills in these subjects as it will help you understand the logic while developing programs and use it more effectively.
Practical knowledge and experience is a must to truly understand the workings of the programs. Thus you must look out for internship
Career Tip 4 for AI ML Careers
A number of online resources are available at your disposal in the form of YouTube videos, blogs, e-books etc. These will help you with tips, techniques and tricks to understand complex knowledge better.
Career Tip 5 for AI ML Careers
Practical knowledge and experience is a must to truly understand the workings of the programs. Thus you must look out for internship programs that will give you the required working knowledge.
There are a variety of AI jobs that are available. Read about different job openings to understand which division of this field attracts you most. You may find a career as a Data Scientist more lucrative compared to a Machine Learning Engineer or a Business Intelligence Developer.
Summary of Careers in Machine Learning and Artificial Intelligence
Artificial Intelligence & Machine Learning plays a vital role in improving the quality of businesses across the globe. The future is bright and the technological advancements are many, giving rise to wide scope to aspirants choosing this field. You can explore its many sub-fields and find out what best suits your interest and aptitude. Best wishes!
Eduberance is an Online Career Guidance Platform for School students. We have verified Career information with related course and institute details. We provide relevant approaches to career selection with our process of Explore, Reliase and Achieve.
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Artificial Intelligence and Machine Learning Developer
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- Artificial Intelligence and Machine Learning Developer
Artificial Intelligence belongs to a field of science and engineering in which studies and research aim to develop intelligent computer machines that can perform tasks with human intelligence. It includes speech recognition, visual perception, logic and decision, multi-language translation and more. Digital bits of data are interpreted and turned into significant experiences and outcomes with aid / assistance of robotics, automation and sophisticated computer software and programs.
Artificial Intelligence is a branch of computer science that makes use of algorithms to simulate human behaviour. AI is used to solve complex problems by simulating human-like thinking capabilities and behaviours. Machine learning is a subset of AI as it can learn from the past data and experiences and does not have to be explicitly programmed.
In case you are looking for a job in this career please note the process to apply for job
Do register on www.eduberance.com/sign-up and
After you register and verify your email, complete your SWOT and IKIGAI from the profile section.
(Absolutely Free Process)
Do share your latest CV at [Confidential Information]
Post that our HR team will use our jobs database to match with your profile.
You will get notified in case of matching opportunities.
Explore Realise and Achieve Your True Potential
Let's dive back to the career details
Starting salary
35000
Career Details
What You Need To Know About This Career Option
Is Machine Learning different from Artificial Intelligence
Well Machine Learning is actually a sub domain of Artificial Intelligence. AI is a bigger concept to create intelligent machines that can simulate human thinking capability and behaviour, whereas, machine learning is an application or subset of AI that allows machines to learn from data without being programmed explicitly.
What does an AI / ML professional do
Artificial intelligence engineers develop programs and codes, create models that help in training the complex networks of algorithms that make up AI in order to mimic the human brain to make decisions based on data and these algorithms.
This role requires combined expertise in software development, programming, data science and data engineering. The duties of the Machine Learning Professional includes the study and conversion of data science prototypes.
The job functions include design and development of Machine Learning systems and schemes. They are also responsible to perform statistical analysis and fine-tune models using test results. The key is to find available datasets online for training purposes and create prototypes relevant to the problem at hand.
What Courses do I need to pursue to become an artificial intelligence programmer or machine learning enabled
- Machine Learning (Intermediate Level)- Prerequisites Probability and Statistics (or equivalent course). Some background in linear algebra and optimization. (IISc Bangalore)
- Advanced Certification in Artificial Intelligence & Machine Learning (From IIIT-H )
- B. Tech Computer Science & Engineering with specialization in AI & Machine Learning
- B. Tech CS or IT / ECE / ME / IN or M.Sc. degree in CS / IT graphic design, information technology, health informatics, or equivalent.
Courses
Name of the Institute
Name of the Course
Duration
IIT
B.Tech
4 years
IIT
M.Tech
2 years
IISc
M.Tech
2 years
Amity University
B.Tech
4 years
Amity University
BBA
3 years
Amity University
BBA (international Business with AI)
3 years
Amity University
MBA (AI and Consulting)
2 years
Amity University
MBA (International Business with AI)
2 years
Vellore Institute of Technology (VTI)
B.Tech (Computer Science and Engineering) in AI and ML
4 years
Vellore Institute of Technology (VTI)
B.Tech (Computer Science and Engineering) in AI and Robotics
4 years
Vellore Institute of Technology (VTI)
M.Tech (Computer Science and Engineering) in AI and ML
2 years
Sharda University
B.Tech in AI and ML
4 years
SRM Institute of Science and Technology
B.Tech in AI and ML
4 years
SRM Institute of Scienceand Technology
B.Tech in AI
4 years
Chandigarh University
BE (Computer Science Engineering) in AI and ML
4 years
What is the eligibility criteria for graduating in artificial intelligence
10+2 with Mathematics and Science (Physics) is recommended
College Education: An aspirant must choose Maths and Physics as core subjects in grades 11 & 12. After this, one can pursue a certification in artificial intelligence or choose to do a diploma or graduation course.
A BTech followed by an MTech in Artificial intelligence along with computer science is usually the popular choice. You learn a number of practical skills and acquire knowledge and training in this course.
Skills needed to become a data scientist
A student with good understanding of the coding languages, good at maths, and has a flair for programming will be successful in pursuing artificial intelligence courses. An in-depth understanding of algorithms and processing methodology will be useful in understanding machine learning and artificial intelligence.
What mindset is required to pursue a course in Artificial Intelligence
Apart from the technical know-how, you would also need certain soft skills such as good communication skills, ability to work in a team, creativity, come up with innovative ideas, ability to solve complex problems, logical and analytical thinking.
Since this is an emerging sector and a difficult one to grasp, students with a mindset of perseverance, consistency, risk taking, analytical abilities are more likely to succeed in this fast growing career.
Do I need to clear any Entrance Exams to become an Artificial Intelligence Professional
The entrance to the UG and PG courses are via JEE Main or GATE scores.
It is not compulsory for you to clear any entrance test to become a machine learning or artificial intelligence professional. However, for admission into any of the IITs, one needs to qualify the JEE Mains.
Many colleges have their own entrance exams such as Vellore Institute of Technology has an entrance exam called VITEEE. Other entrance exams are UPESEAT, SRMJEE, SUAT etc.
Doing a course from these prestigious institutions will boost your career prospects and getting into these colleges will require you to clear the required entrance tests and procedures.
Leading Institutes offering AI Courses in India
AI Colleges in india: Colleges that offer an engineering degree in AI are:
IIT Hyderabad,
IISc Bangalore,
Indraprastha Institute of Technology Delhi,
Amity University Noida,
Vellore Institute of Technology Vellore,
Chandigarh University,
Jain University Bangalore,
SRM Institute of Science and Technology Chennai,
DyPatil International University Pune, and
Sharda University Greater Noida.
Some very popular institutions besides the ones mentioned above for pursuing courses for Artificial Intelligence and Machine Learning are
IIT Bombay, IIT Kharagpur, IIIT Hyderabad, Allahabad, IIT Madras, University of Hyderabad
Since this is a very in demand course, most universities with BTech and MTech Programs are now gearing up to offer this course.
What is the job scenario in Artificial Intelligence
There is plenty of scope for a career in AI and ML as it is in demand for the role it plays in most of the businesses today. Some of the job profiles are Data Scientist, Data Analyst, AI Specialist, Machine Learning Engineer, Robotics Engineer etc.
How much can I earn if I become a machine learning professional
A number of factors play a role in determining the salary of an AI and ML engineer. Based on the location of the job, specific skill sets and experience your salary is determined. A fresher could earn from Rs 5,00,00 - Rs 6,00,00 per annum. Whereas an experienced professional can earn upto Rs 50 lakhs per annum.
Pros of a career in Machine Learning
- Plenty of career opportunities
- Fast emerging field with scope of new discoveries
- Creative field with importance to technical expertise and practical knowledge
- Fascinating and intriguing field
- Scope for developing innovative and unique products
- It is a massive field which can sometimes become overwhelming
- It requires intense study and understanding of intricate concepts and efficient programming skills
- It can be stressful and frustrating at times as the projects are usually time-bound
- With continuous innovations in this field, you have to be on your toes all the time in order to keep up with the developments as it is an endless learning curve
- The technology is complicated and thus the results may not be as you expected which can be demotivating sometimes
A career in AI shows a lot of promise as it has invaded all businesses and is here to stay. With fast advancements in this field, you may want to keep abreast of the latest developments to know and understand better how to kickstart your career. Here are a few tips that might help you with this.
- Fulfil the necessary educational background required starting from a good grounding in computer science and maths at the high school level. Further on acquire a professional degree in computer science or robotics. For higher positions, a masters and / or a doctorate level of education is sought.
You must be a good programmer. Start by learning the various programming languages such as Python, java, javaScript, prolog, LISP, C++ etc.
Additional skills are always desired. You must learn skills such as Natural language Processing (NLP), ontology, data pre-processing, graphics, algorithm design, neural network, pattern recognition, statistical, knowledge representation and reasoning, cognitive science theory, physics etc.
While pursuing a degree, you can also opt to study online courses in AI and ML which can boost your resume. This will give you an edge over others.
Practice algorithms both basic and advanced that you might have learned before. Linear regression, Support Vector Machine, Gradient Descent, K-nearest Neighbour etc. to name a few.
Career Tip 3 for AI ML Careers
A strong background in maths and statistics goes a long way in helping you understand the complex world of AI and robotics. Thus you must refresh your skills in these subjects as it will help you understand the logic while developing programs and use it more effectively.
Practical knowledge and experience is a must to truly understand the workings of the programs. Thus you must look out for internship
Career Tip 4 for AI ML Careers
A number of online resources are available at your disposal in the form of YouTube videos, blogs, e-books etc. These will help you with tips, techniques and tricks to understand complex knowledge better.
Career Tip 5 for AI ML Careers
Practical knowledge and experience is a must to truly understand the workings of the programs. Thus you must look out for internship programs that will give you the required working knowledge.
There are a variety of AI jobs that are available. Read about different job openings to understand which division of this field attracts you most. You may find a career as a Data Scientist more lucrative compared to a Machine Learning Engineer or a Business Intelligence Developer.
Summary of Careers in Machine Learning and Artificial Intelligence
Artificial Intelligence & Machine Learning plays a vital role in improving the quality of businesses across the globe. The future is bright and the technological advancements are many, giving rise to wide scope to aspirants choosing this field. You can explore its many sub-fields and find out what best suits your interest and aptitude. Best wishes!
Eduberance is an Online Career Guidance Platform for School students. We have verified Career information with related course and institute details. We provide relevant approaches to career selection with our process of Explore, Reliase and Achieve.
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Date Posted: 06/05/2025
Job ID: 111456053
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Last Updated: 06-05-2025 04:41:34 PM
