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Roadmap To Become Machine Learning And Artificial Intelligence Engineer

Posted on by Chetan Shidling

Hello guys, welcome back to my blog. In this article, I will discuss the roadmap to become a machine learning and artificial intelligence engineer or roadmap to become ML and AI engineer, skills required, projects, job profile, etc.

If you need an article on some other topics then click on ask question and add a new question. You can also catch me @ Instagram – Chetan Shidling.

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Roadmap To Become Machine Learning And Artificial Intelligence Engineer

Nowadays, the trend of machine learning and artificial intelligence is very high and every person in engineering is talking about machine learning and artificial intelligence. The job requirement for AI and ML engineers is also high and companies are offering high packages for those who know machine learning, artificial intelligence, and deep learning. In this article, I will share a complete roadmap to become a machine learning and artificial intelligence engineer.

Topics that I will cover in this article

  1. Motivation
  2. About machine learning and artificial intelligence
  3. Desirable skills
  4. Branch
  5. Job profiles
  6. Applications
  7. How to start a career
  8. How to develop skill sets
  9. What are the skill sets required
  10. Projects
  11. Salary
  12. Companies

01. Motivation

The main motivation to become a machine learning and artificial intelligence engineer is because companies such as google, amazon, apple, Facebook, reliance, and many other tech companies are using AI and ML to increase their efficiency. Jobs for artificial intelligence and machine learning intelligence is increasing day by day. Many product-based companies are adopting machine learning and artificial intelligence to make their product smart we can take the example of Tesla using AI to make self-driving cars.

02. Machine learning and artificial intelligence

Artificial intelligence means making the system think or behave like human intelligence or creating an artificial human brain. In AI we will train machines with some date sets to make systems more intelligent or behave like humans.

Machine learning is an application or subset of artificial intelligence where after training a machine with some data sets the machine will act like human intelligence and then based on experience it will train itself without the requirement of additional programming. Machine learning is used where continuous up-gradation or learning new things is required. For example in self-driving cars, first, the self-driving car will be trained with some data set then while driving the car, the self-driving car will collect more data set of roads, buildings, boards by its self.

03. Desirable skills

a. Creative thinking: While working in tech companies you need to more creative while implementing new models, creativity in your model makes it more unique.

b. Problem-solving ability: While creating machine learning models you may face much error, so you must have the ability to debug those errors.

c. Discipline & patients: Creating machine learning and artificial intelligence software is a huge task because you need to train models with huge data sets while doing this you need a lot of patients.

d. Learning attitude: You must have a learning attitude to learn new technologies in your field. You must always upgrade yourself with new things.

04. Branch

If you really want to become a machine learning and artificial intelligence engineer then go for computer science. In the computer science branch, you will learn programming languages, cloud computing, and machine learning. One more thing machine learning and artificial intelligence are totally based on mathematics so to become ML and AI engineer your background in mathematics should be strong.

Any branch student can learn ML and AI because in this digital world you will get a lots of resources. Some universities offer machine learning and artificial intelligence subject to all engineering branches like KLE Technological University.

05. Job profile

a. AI developer: The artificial intelligence developer engineer work is to develop and implement AI algorithms for business.

b. Data scientist: The work of data scientists is to play with data set. The data scientist manages a huge amount of data and uses those data to train ML and AI models. They are responsible for collecting an accurate data set.

c. Azure or AWS data scientist: In this role, the data scientist responsible for applying azure or AWS learning techniques in business to train, determine, and implement models to solve problems. The engineer must work closely with customers in translating their requirements or ideas into solutions.

d. AWS or Azure machine learning engineer: Engineer work is to provide machine learning solutions with the best cloud service to the customer based on the requirements.

In this article “roadmap to become machine learning and artificial intelligence engineer”, I will share applications also.

06. Applications

The machine learning and artificial intelligence is used in many fields such as:

  1. Medical
  2. Automobile
  3. E-commerce
  4. Mobile apps
  5. Agriculture
  6. Tech companies
  7. Security
  8. Sport analytics
  9. Education
  10. Military

07. How to start a career

roadmap to become ML and AI engineer

a. To start a career in ML and AI choose an engineering branch that has ML and AI as a subject. Computer science engineering students will have these subjects and in some universities, other branch students will also have ML and AI as subjects.

b. Be strong in subjects such as data structures and algorithms, programming languages like python and R, and also be strong in cloud computing. In ML and AI, almost python is used.

c. ML and AI is totally based on mathematics and you must be good at statistics, linear algebra, probability, distributions, combinations, etc.

d. Learn different frameworks and neural network architectures. The different frameworks are such as TensorFlow, Pytorch, Apache Singa, Amazon machine learning, Azure ML studio, Caffe, H2O, Massive online analysis, mlpack, Theano, Keras, mxnet, etc. The neural network architectures are CNN, RNN, etc.

e. Make some projects related to machine learning and artificial intelligence while studying engineering.

08. How to develop skill sets

There will be many students in your class studying with you and they are your competitors so to beat them during the placement you have to develop excellent skills related to machine learning and artificial intelligence. Here are ways to develop skills:

a. First learn programming languages like Python and R with some frameworks. Solve a variety of problems to become a master in coding.

b. If you like to watch video content then for YouTube video. Watch free video tutorials on machine learning by Andrew N G on YouTube.

c. If you want a certificate then go for online course websites like Coursera, Udemy, Khanacdemy, EDX, etc enroll for machine learning and artificial intelligence courses.

d. Do an internship on machine learning and AI during summers to improve your skills.

e. Do some freelancing work on ML and AI to improve your skills and also mention it in your resume.

09. What are the skill set required

a. Ability to write code in python, R, and Java.

b. Basic knowledge of mathematics such as linear algebra, statistics, probability, distribution, combinations, etc.

c. Good understanding and strong knowledge of algorithms.

d. Appreciation of data modeling, software architecture, and data structures.

e. Previous experience of working with a framework in an internship or last job.

10. Projects

Here are the some projects in this article “roadmap to become machine learning and artificial intelligence engineer” related to machine learning and artificial intelligence projects:

  1. Automatic answer checker
  2. Question paper generator system
  3. Recommendation for customers
  4. Chat bot
  5. Online assignment plagiarism checker
  6. Machine translation
  7. Sentimental analysis
  8. Music generation
  9. Image coloring
  10. Object detection

11. Salary

The average salary of machine learning or artificial intelligence engineers for freshers in India is 5 lakhs per year, for mid-senior (5-8 years experience) it is around 6.8 lakhs per year, and for expert (10-15 years experience) it is around 20 lakhs per annum.

12. Companies

The companies that are hiring for machine learning and artificial intelligence engineers are:

  1. Qualcomm
  2. Facebook
  3. Adobe
  4. Apple
  5. LinkedIn
  6. ServiceNow
  7. Twitter
  8. Workday
  9. SurveyMonkey
  10. Data bricks
  11. SAP
  12. Unity Technologies
  13. Google
  14. Boston Consulting Group
  15. Pluralsight
  16. Intuit
  17. 8×8
  18. Cisco Systems
  19. VMware
  20. Synopsys
  21. Zillow
  22. Walt Disney Company
  23. Arm
  24. Autodesk
  25. Dropbox
  26. Intel Corporation
  27. Nike
  28. Capital One
  29. Twilio
  30. GlaxoSmithKline

And still, many more companies are there that are hiring for machine learning and AI engineers. I hope this article may help you all a lot. Thank you for reading. If you have any doubts related to this article “roadmap to become machine learning and artificial intelligence engineer”, then click on ask question to add your question – Ask Question.

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Chetan Shidling

Automotive | Technical Blogger | Engineer | Content Creator

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