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If you want to get a job as a machine learning engineer, don’t start by diving into the hottest libraries like PyTorch,TensorFlow, Langchain, etc.

Yes, you might hear a lot about them or some other trending technology of the year...but guess what!

Technologies evolve rapidly, especially in the age of AI, but core concepts are always seen as more valuable than expertise in any particular tool. Stop trying to perform a brain surgery without knowing anything about human anatomy.

Instead, here are basic skills that will get you further than mastering any framework:


𝐌𝐚𝐭𝐡𝐞𝐦𝐚𝐭𝐢𝐜𝐬 𝐚𝐧𝐝 𝐒𝐭𝐚𝐭𝐢𝐬𝐭𝐢𝐜𝐬 - My first exposure to probability and statistics was in college, and it felt abstract at the time, but these concepts are the backbone of ML.

You can start here: Khan Academy Statistics and Probability - https://www.khanacademy.org/math/statistics-probability

𝐋𝐢𝐧𝐞𝐚𝐫 𝐀𝐥𝐠𝐞𝐛𝐫𝐚 𝐚𝐧𝐝 𝐂𝐚𝐥𝐜𝐮𝐥𝐮𝐬 - Concepts like matrices, vectors, eigenvalues, and derivatives are fundamental to understanding how ml algorithms work. These are used in everything from simple regression to deep learning.

𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐦𝐢𝐧𝐠 - Should you learn Python, Rust, R, Julia, JavaScript, etc.? The best advice is to pick the language that is most frequently used for the type of work you want to do. I started with Python due to its simplicity and extensive library support, and it remains my go-to language for machine learning tasks.

You can start here: Automate the Boring Stuff with Python - https://automatetheboringstuff.com/

𝐀𝐥𝐠𝐨𝐫𝐢𝐭𝐡𝐦 𝐔𝐧𝐝𝐞𝐫𝐬𝐭𝐚𝐧𝐝𝐢𝐧𝐠 - Understand the fundamental algorithms before jumping to deep learning. This includes linear regression, decision trees, SVMs, and clustering algorithms.

𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭 𝐚𝐧𝐝 𝐏𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧:
Knowing how to take a model from development to production is invaluable. This includes understanding APIs, model optimization, and monitoring. Tools like Docker and Flask are often used in this process.

𝐂𝐥𝐨𝐮𝐝 𝐂𝐨𝐦𝐩𝐮𝐭𝐢𝐧𝐠 𝐚𝐧𝐝 𝐁𝐢𝐠 𝐃𝐚𝐭𝐚:
Familiarity with cloud platforms (AWS, Google Cloud, Azure) and big data tools (Spark) is increasingly important as datasets grow larger. These skills help you manage and process large-scale data efficiently.

You can start here: Google Cloud Machine Learning - https://cloud.google.com/learn/training/machinelearning-ai

I love frameworks and libraries, and they can make anyone's job easier.

But the more solid your foundation, the easier it will be to pick up any new technologies and actually validate whether they solve your problems.

USEFUL RESOURCES TO LEARN MACHINE LEARNING
👇👇

Intro to ML by MIT Free Course

https://openlearninglibrary.mit.edu/courses/course-v1:MITx+6.036+1T2019/about

Machine Learning for Everyone FREE BOOK

https://buildmedia.readthedocs.org/media/pdf/pymbook/latest/pymbook.pdf

ML Crash Course by Google

https://developers.google.com/machine-learning/crash-course

Advanced Machine Learning with Python Github

https://github.com/PacktPublishing/Advanced-Machine-Learning-with-Python

Practical Machine Learning Tools and Techniques Free Book

https://vk.com/doc10903696_437487078?hash=674d2f82c486ac525b&dl=ed6dd98cd9d60a642b

Python Machine Learning for beginners

https://t.me/datasciencefun/1177?single

https://topmate.io/coding/914624

All the best 👍👍

Flipkart is hiring Data Scientist 🚀📈

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Here’s a solid 𝗕𝗘𝗛𝗔𝗩𝗜𝗢𝗥𝗔𝗟 𝗥𝗢𝗨𝗡𝗗 𝗧𝗜𝗣 to boost your chances to nail that job offer!

Technical skills might get you through initial rounds, but behavioral rounds are where many stumble — especially with senior managers who really want to know if you fit the team.

Here’s how to ace it:

1️⃣ When HR shares your interviewer's name, hunt for their LinkedIn profile.

2️⃣ Check out their work history and interests to find common ground.

3️⃣ Mention something relevant during the chat — it shows you’ve done your homework and builds rapport.

4️⃣ Remember, this round is two-way: they’re checking if you suit their culture, and you’re seeing if they suit your career goals.

5️⃣ So, ask smart questions about the role and company culture — it proves you’re genuinely interested.

💡 𝗣𝗿𝗼 𝘁𝗶𝗽: Stay polite but confident; senior leaders love that mix!

If you’re a student, graduate, or someone looking for a career switch, read this.

Most people spend months watching random YouTube videos and still don’t become job-ready.

Instead, learn in a structured offline classroom.

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Two Scholarships Open Now — Airtel (UG Engineering) & IDFC FIRST Bank (MBA)
Two separate scholarship programs are currently accepting applications for Indian students.
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Who can apply:
First year UG or 5 year integrated engineering students at Top 50 NIRF ranked institutes
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Indian citizen and resident
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Note: IDFC FIRST Bank does not charge any application fee at any stage.

If you need more such type of content then do let me know by responding to this message. 😊

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