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Career guide

How to get an AI / machine learning engineer job as a fresher

AI and ML engineers build, evaluate and ship models into real products. Interest in AI is common; what gets freshers hired is solid ML fundamentals, clean Python and projects they can discuss confidently.
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What a AI / Machine Learning Engineer does

  • Prepares data and trains machine learning models.
  • Evaluates models with the right metrics and improves them.
  • Deploys models behind APIs and monitors their performance.
  • Builds features with modern AI tools such as LLM APIs.

Projects that prove your skills

  1. 1A trained model served through a small API with a simple front end, documented in the README.
  2. 2A comparison of several algorithms on one problem, explaining why the winner won.
  3. 3An application built on an LLM API with clear evaluation of its answers.

AI / Machine Learning Engineer skills

What employers look for in a fresher

  • Python

    The primary language for ML work.

  • ML fundamentals

    Supervised vs unsupervised learning, common algorithms, overfitting and regularisation.

  • Model evaluation

    Choosing and interpreting metrics is a frequent interview focus.

  • A deep learning framework (PyTorch or TensorFlow)

    Expected for many AI-focused roles.

  • Serving models (FastAPI / Flask, Docker)

    A model is only useful once it's deployed.

  • Maths foundations

    Linear algebra, probability and calculus behind the algorithms.

What the interviews look like

  1. Round 1Online test: Python, ML MCQs and coding.
  2. Round 2Technical interview: ML theory, a project deep dive and sometimes a coding or modelling exercise.
  3. Round 3HR round.

Questions to practise

  • How does gradient descent work?
  • What is overfitting and how do you detect and reduce it?
  • Explain the difference between bagging and boosting.
  • Which metric would you use for a fraud detection model, and why?
  • How would you deploy a trained model so an app can use it?
  • What did you learn from the hardest bug in your ML project?

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Our students working as AI / Machine Learning Engineers

  • Mandvi, AI / Machine Learning Engineer at TCS

    Mandvi

    AI / Machine Learning Engineer at TCS

Read their placement stories →

FAQ

AI / Machine Learning Engineer: common questions

Straight answers for freshers starting out.

Can a fresher get an AI/ML job?

Yes, especially with strong Python, ML fundamentals and deployed projects. Some freshers start in data or software roles and move into ML.

Do I need research experience?

Not for most industry roles. Practical projects and clear explanations of your modelling choices matter more.

Is prompt engineering enough for an AI job?

On its own, rarely. Combine it with Python, ML fundamentals and the ability to build and evaluate AI features.

More career guides

  1. Profile
  2. Prepare
  3. Interview
  4. Improve
  5. Get hired

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