This document provides an overview roadmap for becoming a machine learning engineer. It discusses the career path and qualifications of the speaker, Piyush Nikam. It then covers key topics like the fields of artificial intelligence and machine learning, popular programming languages like Python, machine learning theory, practice projects for different experience levels, higher education opportunities, job interviews, and concludes with advice and an inspiring quote.

1. Roadmap to become a
Machine Learning Engineer
With Piyush Nikam
ML Engineer at Qualcomm R&D
Raman Kumar Jha & Astha Jain
ML Lead @ GDSC, DYPCOE

2. About the speaker
Piyush, an alumnus of our college, is
currently working at Qualcomm R&D as a
Machine Learning Engineer. He completed
his post graduation from BITS, Pilani,
specialising in Machine Learning. He has
worked in NetApp R&D and Manhattan
Associates. His research work recently got
published in Springer and IEEE.
Piyush Nikam

3. Contact
https://www.linkedin.com/in/piyushnikam/
https://www.instagram.com/thinkbigwithai/
https://www.youtube.com/channel/UCj3QUzAYqcq
2ajyFE80xw9g

4. A day in the life
of a Machine
Learning
Engineer
What is it like to be
an ML Engineer?

5. ARTIFICIAL
INTELLIGENCE AND
ITS FIELDS
What is AI?

6. MACHINE
LEARNING AND
DEEP LEARNING

7. NATURAL
LANGUAGE
PROCESSING
COMPUTER VISION

8. How are these
fields related?
Which domain is
right for me?

9. Why should you do Machine Learning?
Future Scope of Machine Learning
● Career opportunities
● Related fields
● High demand
● Scenario in the next few years

10. Are there any prerequisite skills?
❏Mathematics
❏Data Modelling
❏Programming

11. Programming
Languages for
Machine Learning
Which one should I choose?

12. An ode to Python
Why Python is the most widely used language for Machine Learning
Frameworks and tools Top companies using python

13. Machine
Learning
Theory
A.k.a. I give up

14. How to practice?
1. HackerRank
2. Kaggle
3. HackerEarth
4. CrowdAI
5. Hugging Face
Best platforms to practice Machine Learning

15. Beginner
Some projects to get you involved
Advance
Wine quality predictions, Iris Classification, OCR, Spam
Detection, Credit Card Fraud Detection, Stock price prediction
Object Detection, Hand Gesture Recognition, Face mask Detection,
Emotion Detection system, Driver Drowsiness Detection
Intermediate Breast Cancer Prediction, Recommendation Systems, Fake News Detection
AI Chatbot, Calorie Burnt Prediction

17. Higher studies Job
Research
OPPORTUNITIES
Moving forward..

18. Interview experience and tips

20. Any last
piece of
advice?

21. A year spent in artificial
intelligence is enough to make one
believe in God.
~Alan Perlis

22. Thank you!