Machine Learning Engineer

What Do They Do?

Imagine you are watching videos on YouTube.
If you watch a few videos about a game, YouTube starts recommending similar videos of that game.
Behind the scenes, a learning system is always monitoring what type of videos you are watching.
The person who builds these learning systems and connect to the apps is called a Machine Learning Engineer.
👉 In simple words: Machine Learning Engineers teach computers to learn from data.

🎓 How to Become a Machine Learning Engineer

You have two options:

Start early with a Diploma
After Class 10, you can choose a relevant diploma course. Complete the diploma and join the second year of an engineering course by applying through lateral entry.
Finish Class 12
Complete Class 11 and 12, then you can do a B.Tech./B.E. in the relevant field.

These beginner-level courses help students learn programming logic, basic mathematics, Python coding, data analysis, and introductory machine learning concepts.

Diploma in Computer Science & Engineering (CSE)

Duration: 3 Years

Eligibility: Class 10 Pass

Entrance Exam: Polytechnic Entrance Exam / Merit-Based Admission

Diploma in Artificial Intelligence & Machine Learning (AI & ML)

Duration: 3 Years

Eligibility: Class 10 Pass

Entrance Exam: Polytechnic Entrance Exam / Merit-Based Admission

Diploma in Artificial Intelligence & Data Science (AI & DS)

Duration: 3 Years

Eligibility: Class 10 Pass

Entrance Exam: Polytechnic Entrance Exam / Merit-Based Admission

Diploma in Information Technology (IT)

Duration: 3 Years

Eligibility: Class 10 Pass

Entrance Exam: Polytechnic Entrance Exam / Merit-Based Admission

📝 Exam Details

(Click on the exam name to see full details)

Polytechnic Entrance Exam Merit-Based Admission

Note: Many Machine Learning Engineers improve their skills by building projects, learning Python, working with data, and practicing machine learning regularly.

These degree programs help students learn machine learning, data science, statistics, algorithms, Python programming, and artificial intelligence technologies.

B.Tech / B.E. in Computer Science & Engineering (CSE)

Duration: 4 Years

Eligibility: 10+2 Pass (with Physics, Chemistry, and Mathematics)

Entrance Exam: JEE Main / JEE Advanced / State Engineering Entrance Exams

B.Tech / B.E. in Artificial Intelligence & Machine Learning (AI & ML)

Duration: 4 Years

Eligibility: 10+2 Pass (with Physics, Chemistry, and Mathematics)

Entrance Exam: JEE Main / JEE Advanced / State Engineering Entrance Exams

B.Tech / B.E. in Computer Science & Engineering (Artificial Intelligence & Machine Learning)

Duration: 4 Years

Eligibility: 10+2 Pass (with Physics, Chemistry, and Mathematics)

Entrance Exam: JEE Main / JEE Advanced / State Engineering Entrance Exams

B.Tech / B.E. in Artificial Intelligence

Duration: 4 Years

Eligibility: 10+2 Pass (with Physics, Chemistry, and Mathematics)

Entrance Exam: JEE Main / JEE Advanced / State Engineering Entrance Exams

B.Tech / B.E. in Artificial Intelligence & Data Science

Duration: 4 Years

Eligibility: 10+2 Pass (with Physics, Chemistry, and Mathematics)

Entrance Exam: JEE Main / JEE Advanced / State Engineering Entrance Exams

B.Tech / B.E. in Computer Science & Engineering with Data Science

Duration: 4 Years

Eligibility: 10+2 Pass (with Physics, Chemistry, and Mathematics)

Entrance Exam: JEE Main / JEE Advanced / State Engineering Entrance Exams

B.Tech / B.E. in Information Technology

Duration: 4 Years

Eligibility: 10+2 Pass (with Physics, Chemistry, and Mathematics)

Entrance Exam: JEE Main / JEE Advanced / State Engineering Entrance Exams

Bachelor of Science (B.Sc) in (Data Science & AI / AI & ML)

Duration: 3 Years

Eligibility: 10+2 Pass (Any Stream; Mathematics or Computer Science Preferred)

Entrance Exam: CUET-UG / State-level CET / University Merit

📝 Exam Details

(Click on the exam name to see full details)

JEE Main JEE Advanced CUET-UG State Engineering Entrance Exams State-Level CET University Merit-Based Admission

Note: Students can strengthen their Machine Learning skills by learning Python, mathematics, data analysis, and building machine learning projects.

These lateral-entry programs help diploma holders deepen their knowledge in machine learning, artificial intelligence, data science, model development, and advanced programming concepts.

B.Tech / B.E. in Computer Science & Engineering (CSE) – Lateral Entry

Duration: 3 Years

Eligibility: Diploma in Engineering (CSE, IT, or related streams)

Entrance Exam: State Lateral Entry Entrance Exam / Merit-Based Admission

B.Tech / B.E. in Artificial Intelligence & Machine Learning (AI & ML) – Lateral Entry

Duration: 3 Years

Eligibility: Diploma in Engineering (CSE, AI/ML, IT, or related streams)

Entrance Exam: State Lateral Entry Entrance Exam / Merit-Based Admission

B.Tech / B.E. in Artificial Intelligence & Data Science (AI & DS) – Lateral Entry

Duration: 3 Years

Eligibility: Diploma in Engineering ( CSE, AI/ML, AI/DS, IT, or related streams)

Entrance Exam: State Lateral Entry Entrance Exam / Merit-Based Admission

B.Tech / B.E. in Information Technology (IT) – Lateral Entry

Duration: 3 Years

Eligibility: Diploma in Engineering (CSE, IT, or related streams)

Entrance Exam: State Lateral Entry Entrance Exam / Merit-Based Admission

📝 Exam Details

(Click on the exam name to see full details)

State Lateral Entry Exam University Entrance Exam Merit-Based Admission

Note: Diploma holders can strengthen their Machine Learning skills by learning advanced Python, statistics, data analysis, and building real-world machine learning projects.

These advanced programs help graduates specialize in machine learning, artificial intelligence, deep learning, data science, and large-scale intelligent systems.

M.Tech / M.E. in Computer Science & Engineering (CSE)

Duration: 2 Years

Eligibility: Graduate with a relevant Bachelor's degree in Engineering / Technology or equivalent qualification

Entrance Exam: GATE / University Entrance Exams

M.Tech / M.E. in Artificial Intelligence & Machine Learning (AI & ML)

Duration: 2 Years

Eligibility: Graduate with a relevant Bachelor's degree in Engineering / Technology or equivalent qualification

Entrance Exam: GATE / University Entrance Exams

M.Tech / M.E. in Artificial Intelligence

Duration: 2 Years

Eligibility: Graduate with a relevant Bachelor's degree in Engineering / Technology or equivalent qualification

Entrance Exam: GATE / University Entrance Exams

M.Tech / M.E. in Data Science

Duration: 2 Years

Eligibility: Graduate with a relevant Bachelor's degree in Engineering / Technology or equivalent qualification

Entrance Exam: GATE / University Entrance Exams

Master of Science (M.Sc) in Artificial Intelligence & Machine Learning

Duration: 2 Years

Eligibility: Graduate (BCA, BSc CS, or Any Degree with Mathematics)

Entrance Exam: NIMCET / State-Level MCA Entrance Exams / Interview

📝 Exam Details

(Click on the exam name to see full details)

GATE NIMCET State-Level MCA Entrance Exams University Entrance Exams Merit-Based Admission

Note: Graduates can strengthen their Machine Learning expertise through research, advanced mathematics, deep learning, MLOps, and real-world AI projects.

Note:

Age limits, marks, and admission process may vary depending on the college or state.

These courses are available in many colleges and universities across India.

You can choose colleges based on your location, budget, and entrance exams.

🏛️ Colleges offering these courses in India

(Tap on a college to view the details)

After Class 10

Government Polytechnic College, Kalamassery Government Polytechnic College, Jalandhar, Punjab Indian School of Technology & Management, Mumbai, Maharashtra G H Raisoni International Skill Tech University, Pune, Maharashtra

After Class 12

Indian Institute of Technology (IIT) Kanpur, Uttar Pradesh Vellore Institute of Technology (VIT), Chennai M.S. Ramaiah University of Applied Sciences, Bengaluru, Karnataka Amrita Vishwa Vidyapeetham, Coimbatore SRM Institute of Science and Technology (SRMIST), Tamil Nadu Manipal University, Jaipur, Rajasthan SRM Institute of Science and Technology (SRMIST), Tamil Nadu Indian Institute of Space Science and Technology (IIST), Thiruvananthapuram, Kerala Indian Institute of Technology (IIT), Guwahati, Assam SRM Institute of Science and Technology (SRMIST), Tamil Nadu

After Diploma (Lateral Entry)

Lovely Professional University, Punjab Chandigarh University, Punjab KPR Institute of Engineering and Technology, Coimbatore Manipal Institute of Technology, Manipal, Karnataka

After Graduation

Indian Institute of Technology, Dharwad, Karnataka Maharishi University of Information Technology (MUIT), Noida, UP Amrita Vishwa Vidyapeetham, Coimbatore IIT Palakkad, Kerala Indira Gandhi National Open University (IGNOU), New Delhi

STEP 1

Imagine you are working as a Machine Learning Engineer.

STEP 2

A mobile phone company wants users to unlock their phones using face recognition.

STEP 3

You create a system that learns to recognize a person's face.

STEP 4

You test the system and improve it so it can identify faces accurately.

STEP 5

Once the phone is launched, people use the face recognition system you built to unlock their phones.

STEP 6

If you enjoy technology, mathematics, coding, and solving problems, this career may suit you.

Where do Machine Learning Engineers work? (Job Roles + Growth)

Machine Learning Engineers work in : Technology & software companies, AI research organisations, Robotics companies, Financial institutions, Healthcare organisations, e-commerce companies, Automotive companies, Startups and Businessess developing AI and machine learning products and services.

🟢 Beginner Roles

Junior Machine Learning Developer

(After Short-Term Course / Online Course)

Writes basic predictive scripts and analyzes training data.

Machine Learning Intern

(After Certificate / Diploma / BCA)

Cleans datasets and helps monitor machine learning model performance.

Data Preparation Assistant

(After Diploma / Graduation)

Organizes and prepares data used for training machine learning models.

Model Testing Assistant

(After Online Course / Graduation)

Tests model outputs and helps identify prediction errors.

🔵 Mid-Level Roles

Machine Learning Engineer

(After BCA / B.Tech / BSc CS + Experience)

Builds, deploys, and improves machine learning models in real applications.

ML Ops Engineer

(After BCA / B.Tech / BSc CS + Experience)

Manages cloud systems and automated pipelines for machine learning models.

Data Scientist

(After Machine Learning Training + Experience)

Analyzes large datasets to improve predictions and model accuracy.

Computer Vision Engineer

(After Advanced Training + Experience)

Develops systems that recognize faces, objects, and visual patterns.

🟣 Advanced Roles

Principal ML Architect

(After MCA / M.Tech + Experience)

Designs large-scale machine learning systems for enterprise applications.

Director of Machine Learning

(After Postgraduate Program + Experience)

Leads machine learning teams and guides AI strategy across products.

AI & ML Product Manager

(After Senior ML Experience)

Oversees machine learning projects from research to deployment.

Machine Learning Companies

Build systems that learn from data and improve predictions automatically.

Technology & Software Companies

Develop recommendation systems, search engines, and intelligent software products.

Computer Vision Companies

Create systems that recognize faces, objects, images, and videos.

Remote Machine Learning Jobs

Build and improve machine learning systems remotely for international companies.

Healthcare & Medical Technology Companies

Develop machine learning tools that help doctors analyze medical data.

Automotive & Robotics Companies

Create intelligent systems used in robots, automation, and smart vehicles.

(Click Yes or No for each question)

1. When you use apps like YouTube, have you ever thought, "How does it know which videos I like?"

2. Are you interested in learning about the systems that recommend videos, songs, and products?

3. When you search a product on a shopping app, have you noticed that the app starts recommending similar products?

4. Imagine you are working as a machine learning engineer. A company wants to develop an app. If an image is added to the app, it should tell what it is. You start creating a system that identifies objects from the image. After developing this system, you add it to the app. Now the app can identify the objects in the images uploaded to it. Would you like doing this type of work?

5. A shopping app wants to show its customers the products they usually search for. They ask you to build a system. You create a system that automatically identifies what people like and starts showing similar products to each user. You add this system to the app. Now the app starts showing users what they like. Would you like doing this type of work?