Disha Edge
AI and machine learning engineer
Build and test computer systems that learn patterns from data, and check where they make mistakes.
You can start after Class 12 or graduation. Routes covered here: computing and engineering route and mathematics or statistics plus computing. Entrance exams on these routes: CUET UG and JEE Main. Typical work settings: applied machine-learning product teams and data, evaluation and research-support teams. Skills used include data preparation, evaluation and responsible deployment.
Some details need verification. Check the source before making a decision.
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What does an AI and machine learning engineer do every day?
A fictional model sorts school-library requests into topics. The engineer checks whether the examples cover different languages, keeps test examples separate and inspects mistakes before using the model. A useful model needs a clear purpose, trustworthy data and a way for people to question its output.
Where the work happens
- Applied machine-learning product teams
- Data, evaluation and research-support teams
Which school subjects matter in Class 9 to 12?
| Class | What helps |
|---|---|
| Class 9 and 10 | Practise algebra, probability, statistics and coding. Explain why examples used to build a system should not be the only examples used to judge it. |
| Class 11 and 12 | Practise algebra, probability, statistics and coding. Explain why examples used to build a system should not be the only examples used to judge it. Compare the actual subject and admission rules for each route before making a stream or course decision. |
How do you become an AI and machine learning engineer after Class 12?
Main route
Computing and engineering route
- Verify the programme subject requirements and study computing with mathematics, statistics and supervised projects.
- Read the current recognition and admission document, and record unanswered questions before applying.
- Complete the relevant learning and supervised practical requirements; separately check the scope and conditions of the intended role.
- Published duration
- Check current duration
- Provider type
- Government and private
- Cost band
- Check current fees
Subject rules by board
| Boards | Subjects | Rule |
|---|---|---|
| CBSE, CISCE, UP Board, Uttarakhand Board, Haryana Board | Physics, Mathematics, One of Chemistry/Biotechnology/Biology/Technical Vocational subject | For B.E./B.Tech in the NIT+ system through JEE (Main), you need Physics and Mathematics in Class 12, plus Chemistry, Biotechnology, Biology or a technical vocational subject. State colleges may set their own rules. Commerce-with-Mathematics students can look at route 2 (Mathematics or statistics plus computing). Confirm with the current bulletin and the admitting institution. |
Entrance exams on this route: JEE Main
If you change your mind: You can move toward software engineering, statistics or data engineering by filling the relevant foundations. A tool trend is not a reason to skip basic learning.
Needs verification. Last checked .
Source: National Testing Agency; All India Council for Technical Education
Another route
Mathematics or statistics plus computing
- Check degree admission and later specialist-study prerequisites separately; plan the coding foundation as well.
- Read the current recognition and admission document, and record unanswered questions before applying.
- Complete the relevant learning and supervised practical requirements; separately check the scope and conditions of the intended role.
- Published duration
- Check current duration
- Provider type
- Government and private
- Cost band
- Check current fees
Subject rules by board
| Boards | Subjects | Rule |
|---|---|---|
| CBSE, CISCE, UP Board, Uttarakhand Board, Haryana Board | Mathematics | Check with a counsellor using the current official programme notice. Subjects, minimum marks, board recognition and any professional-registration conditions have not been confirmed for this board. |
Entrance exams on this route: CUET UG
If you change your mind: You can move toward software engineering, statistics or data engineering by filling the relevant foundations. A tool trend is not a reason to skip basic learning.
Needs verification. Last checked .
Source: National Testing Agency
What skills does an AI and machine learning engineer use?
- Data preparation: Document what an example means and what may be missing.
- Evaluation: Look at different kinds of mistakes instead of only one total metric.
- Responsible deployment: Provide human review where a mistaken output could affect someone.
What are the first roles in this career?
A starting role usually offers a narrower task with supervision. In the first years, keep evidence of careful work, ask for feedback and learn the limits of your responsibility. Wider responsibility depends on learning, qualifications, the organisation and opportunities; there is no fixed five-year promotion ladder.
- Data preparation trainee: An illustrative responsibility to develop in this role: Document what an example means and what may be missing. The title and permitted scope vary by organisation and qualifications.
- Machine learning engineer: An illustrative responsibility to develop in this role: Look at different kinds of mistakes instead of only one total metric. The title and permitted scope vary by organisation and qualifications.
- Applied AI technical lead: An illustrative responsibility to develop in this role: Provide human review where a mistaken output could affect someone. The title and permitted scope vary by organisation and qualifications.
What is a common myth about this career?
The assumption: An AI result is objective just because a computer produced it.
A fuller view: Training examples, labels and design choices influence results. Testing and human review are part of the work, not optional decoration.
Looking ahead: Model capability and product usefulness are different questions. Explore data quality, evaluation and human review alongside model-building, and record where the system should not be used.
If you change your mind: You can move toward software engineering, statistics or data engineering by filling the relevant foundations. A tool trend is not a reason to skip basic learning.
Which exams, syllabi and activities connect to this career?
Entrance exams on these routes
Class 12 board syllabi for the subjects these routes ask for
Which careers are related?
- Cybersecurity analyst
Related work. Protect an organisation's computers, accounts and data by watching for threats, investigating incidents with permission and reducing risk.
- Data Analyst
Related work. Turn recorded data into a checked explanation for a decision.
- Software Engineer
Related work. Turn a user’s need into reliable software, then test and maintain it.
- Statistician
Related work. Use data and mathematical reasoning to learn while describing uncertainty.
Where does this career guide come from?
Needs verification. Last checked .
Some details in this guide still need checking with the official provider. Confirm eligibility, fees and dates on the official website before you decide.
- Approval Process Handbook 2024-2027, All India Council for Technical Education, accessed
- JEE Main 2026 information bulletin, National Testing Agency, accessed
- CUET UG 2026 information bulletin, National Testing Agency, accessed
Prepared by the Disha Stars team from the sources listed here. Check the latest official notice before you apply.