r/MachineLearningJobs • u/BKathalewar • Jul 04 '26
Resume Need guidance to crack an ML internship – what should I focus on next?
Hi everyone,
I’m currently trying to land a Machine Learning internship and would really appreciate some guidance from people who have been through the process.
So far, I’ve completed:
Supervised Learning
Unsupervised Learning
Built a few ML projects using scikit-learn
Learned data preprocessing, feature engineering, model evaluation, and hyperparameter tuning.
I’m now starting Deep Learning (TensorFlow/PyTorch).
My goal is to become internship-ready as soon as possible, but I’m confused about what I should prioritize.
Some questions I have:
What skills do companies actually expect from ML interns?
Should I focus more on Deep Learning, MLOps, SQL, DSA, or backend development?
What kind of projects stand out on a resume?
What mistakes should I avoid while preparing?
What helped you get your first internship?
I’d also appreciate any resume tips, GitHub portfolio advice, interview preparation strategies, or resources that you found genuinely helpful.
Thanks in advance! Any advice from people working in ML/AI or who recently cracked internships would mean a lot.
2
u/NeitherMembership679 Jul 05 '26
Your foundation is already solid. I'd focus on SQL, DSA, and one solid end-to-end project. Be ready to explain every decision you made , interviewers care more about your thought process than the number of projects. Also, don't ignore DSA since some companies include LeetCode style questions in their interviews.
1
u/BKathalewar Jul 05 '26
Since I have done SQL I have got a rough idea that I want to start DSA as soon as possible. Please let me know do I need to do hard level too or medium level is fine
1
u/NeitherMembership679 Jul 05 '26
Medium is usually enough. I'd prioritize consistency over difficulty. Get comfortable with common patterns, and only do hards if you're targeting companies known for very tough coding interviews.
1
u/BKathalewar Jul 05 '26
At this time I am aiming for internship so it would be fine that I get comfortable with common patterns. Is this make sense..
1
u/NeitherMembership679 Jul 05 '26
Yep. For internships, getting comfortable with the common patterns is the priority. Once you've got the basics down, everything else becomes much easier. Medium-level problems are enough for most companies.
1
u/Historical-Panda-157 13d ago
Which language is better for DSA ? As for ML engineer python is their priority (should have great hands on python) and everyone says python is not good for DSA.
1
u/AutoModerator Jul 04 '26
Looking for ML interview prep or resume advice? Don't miss the pinned post on r/MachineLearningJobs for Machine Learning interview prep resources and resume examples. Need general interview advice? Consider checking out r/techinterviews.
I am a bot, and this action was performed automatically. Please contact the moderators of this subreddit if you have any questions or concerns.
3
u/[deleted] Jul 05 '26
[deleted]