ICBian Alumni Hub – Bridging Careers & Community

How to become a Machine
Learning Engineer?

Discover the path to your dream career!

Machine Learning Engineer

A Machine Learning Engineer is a professional who designs and builds programs that allow computers to learn from data and make decisions on their own, without needing to be programmed for every task. They work with data, create algorithms, and use programming skills to develop models that help solve real-world problems. This career combines knowledge of computer science, statistics, and data analysis, and is at the forefront of creating technologies like self-driving cars, virtual assistants, and recommendation systems. As a Machine Learning Engineer, you get to work on exciting projects that shape the future of technology!

1. What kind of skills or aptitude do I need to study this field?

To become a Machine Learning Engineer, you need the following skills and aptitude:

  1. Math Skills – Understanding algebra, probability, and statistics helps in working with AI models.
  2. Logical Thinking – The ability to solve problems step by step.
  3. Programming – Learning languages like Python can help in writing AI programs.
  4. Curiosity – A love for exploring how computers can learn from data.
  5. Patience & Persistence – AI models take time to develop and improve.

If you enjoy solving puzzles, working with numbers, and coding, this field could be a great fit for you!

2. Which subjects should I focus on in school to prepare for this career?

To prepare for a career as a Machine Learning Engineer, focus on these subjects in school:

  1. Mathematics – Learn algebra, probability, and statistics.
  2. Computer Science – Basics of coding and how computers work.
  3. Physics – Helps with logical thinking and problem-solving.
  4. English – Important for understanding technical information and communication.

Studying these subjects will build a strong foundation for learning machine learning in the future!

3. When does this education start in Pakistan—after 10th grade or 12th grade?

In Pakistan, education for becoming a Machine Learning Engineer usually starts after the 12th grade (FSc, A-Levels, or equivalent).

After 10th grade (Matric), you need to choose Pre-Engineering or Computer Science in FSc or A-Levels. Then, you can study Artificial Intelligence, Computer Science, or Data Science at the university level to become a Machine Learning Engineer

4. How many years of education are required to get a good job in this field?

To get a good job as a Machine Learning Engineer, you usually need 4 to 6 years of education after 12th grade.

  1. Bachelor’s Degree (4 years) – In Computer Science, Artificial Intelligence, or Data Science.
  2. Master’s Degree (Optional, 2 years) – Helps in getting higher-level jobs.

Some people also take online courses and certifications to learn faster, but a Bachelor’s degree is the best way to start!

5. Can I start my own business after studying this field, or is it only for jobs?

Yes! After studying Machine Learning, you can start your own business or do a job.

Business Options:

  • Create AI-based apps or software.
  • Start a data analysis or AI consulting company.
  • Develop smart chatbots or automation tools for businesses.

Job Options:

  • Work in tech companies as a Machine Learning Engineer.
  • Join research teams in AI and data science.

If you are creative and like solving problems, you can turn your AI skills into a successful business!

6. What kind of jobs can I get after studying this field?

After studying Machine Learning, you can get different types of jobs, such as:

  1. Machine Learning Engineer – Develops AI models to help computers learn.
  2. Data Scientist – Analyzes data to find useful patterns.
  3. AI Engineer – Creates smart applications like voice assistants.
  4. Software Engineer (AI Focused) – Builds AI-powered software.
  5. Robotics Engineer – Works on smart robots and automation.

These jobs are in tech companies, banks, healthcare, and even gaming!

7. Is this field in demand in Pakistan, or will I need to go abroad for better opportunities?

The Machine Learning Engineer field is in high demand in Pakistan and worldwide.

Opportunities in Pakistan:

  • Many tech companies and startups need AI experts.
  • Banks, hospitals, and e-commerce businesses use machine learning.
  • Freelancing and remote jobs allow you to work for global clients.

Opportunities Abroad:

  • Countries like the USA, Canada, and the UK have bigger AI industries.
  • If you want higher salaries, you can apply for jobs abroad.

You don’t have to go abroad, but if you want better opportunities, you can explore international options!

8. What are the best universities or colleges in Pakistan to study this field?

In Pakistan, some of the best universities to study Machine Learning and AI are:

  1. National University of Sciences and Technology (NUST) – Islamabad
  2. Information Technology University (ITU) – Lahore
  3. COMSATS University – Islamabad, Lahore
  4. Lahore University of Management Sciences (LUMS) – Lahore
  5. FAST-NUCES – Islamabad, Lahore, Karachi
  6. University of Engineering and Technology (UET) – Lahore
  7. Punjab University College of Information Technology (PUCIT) – Lahore

These universities offer Computer Science, AI, and Data Science programs, which are great for becoming a Machine Learning Engineer!

9. Do I need to study further after a bachelor’s degree to get a good job?

No, you don’t need to study further after a bachelor’s degree to get a good job in Machine Learning.

However, if you want better job opportunities, you can:

  • Do a Master’s degree in AI, Data Science, or Machine Learning.
  • Take online courses from websites like Coursera or Udemy.
  • Work on projects and gain experience through internships.

A strong bachelor’s degree, practical skills, and experience are enough to start a good career!

10. Is this field more theoretical (book-based) or practical (hands-on)?

The Machine Learning Engineer field is a mix of both theoretical (book-based) and practical (hands-on) learning.

  • Theoretical: You need to study math, algorithms, and AI concepts from books and courses.
  • Practical: You must write code, build AI models, and test real-world applications using programming languages like Python.

To succeed, you should focus on both studying and practicing coding through projects!

11. What kind of challenges will I face in this field?

As a Machine Learning Engineer, you might face some challenges, such as:

  1. Complex Problems – Machine learning involves solving difficult problems, like making computers understand data and learn from it.
  2. Data Issues – Sometimes the data is incomplete, incorrect, or not enough, making it hard to train machine learning models.
  3. High Expectations – People expect your AI models to be accurate and fast, which requires lots of testing and improvement.
  4. Staying Updated – The field of AI changes quickly, so you have to keep learning new techniques and tools.

But if you enjoy problem-solving and learning, these challenges can be exciting to overcome!

12. Are there scholarships or financial aid available for this field in Pakistan?

Yes, there are scholarships and financial aid options available for studying Machine Learning and related fields in Pakistan.

Here are some options:

  1. HEC (Higher Education Commission) Scholarships – They offer scholarships for students pursuing higher education in fields like Computer Science and AI.
  2. University-Specific Scholarships – Many universities like NUST, LUMS, and FAST-NUCES offer scholarships based on merit or need.
  3. Private Organizations – Companies and NGOs sometimes sponsor students in tech-related fields.
  4. International Scholarships – Some global organizations offer scholarships for students who want to study abroad.

You can check the scholarship opportunities at universities and on the HEC website!

13. Can I switch to another field later if I don’t like this one?

Yes, you can switch to another field later if you don’t like Machine Learning Engineer.

Many of the skills you learn in Machine Learning, like coding, problem-solving, and working with data, can help you switch to related fields such as:

  1. Software Development – If you enjoy programming but not AI.
  2. Data Science – If you like working with data but not coding as much.
  3. Cybersecurity – If you’re interested in protecting data and systems.
  4. Game Development – If you’re passionate about building games.

Your education in Machine Learning will give you a strong base to explore different tech careers!

14. What kind of salary or income can I expect in this field?

As a Machine Learning Engineer, your salary can vary based on your experience, skills, and location. In Pakistan, you can expect:

  1. Starting Salary – For fresh graduates, the salary can be around PKR 40,000 to 70,000 per month.
  2. With Experience – After 2-5 years of experience, you can earn PKR 100,000 to 150,000 per month or more.
  3. Top Salary – For highly experienced Machine Learning Engineers or those in senior positions, the salary can go up to PKR 200,000 or more per month.

If you work for international companies or as a freelancer, the income can be higher, especially in US dollars!

15. Are there any famous people or role models in this field that I can look up to?

Yes, there are several famous people and role models in the Machine Learning field who can inspire you:

  1. Andrew Ng – Co-founder of Google Brain and Coursera, Andrew Ng is one of the leading experts in AI and Machine Learning. He has made learning AI accessible through his online courses.

  2. Geoffrey Hinton – Known as the “godfather” of deep learning, Geoffrey Hinton has greatly contributed to the development of neural networks, which are key to machine learning.

  3. Yann LeCun – Director of AI research at Facebook and a pioneer in deep learning. He has made huge advancements in computer vision and machine learning algorithms.

  4. Fei-Fei Li – A professor at Stanford University, Fei-Fei Li is well-known for her work in computer vision and AI. She was the director of the Stanford AI Lab and is passionate about creating human-centered AI.

Looking up to these experts can motivate you as you begin your journey in Machine Learning!

Scroll to Top