AI/ML Intern
Nexlyra Engineering Works is taking on AI/ML interns for a remote internship organised around projects. Deep expertise is not required, and the post invites you to apply even if what you know comes mostly from coursework, tutorials or things you built yourself.
What you could be working on
The post frames this as hands-on practice in AI/ML, aimed at leaving you with work you can talk through in interviews and place in a portfolio. It says your projects may cover:
- Data: analysing and preparing it, including real-world data sets
- Feature engineering
- Models: training them and evaluating how they perform
- Python, plus the tooling used for AI/ML development
- Prototyping and experimentation
- Good development habits: version control with Git, writing documentation, testing and similar practices
Check if this matches where you are
The post is written for people studying AI and machine learning whose experience so far is mostly from courses, tutorials or personal projects. Being an expert is not expected.
What the hiring team says it looks for:
- Problem-solving skills
- A mindset of learning quickly
- A responsible attitude toward the work you take on
- Willingness to jump into projects, debug, learn from mistakes and work out why things behave as they do
The internship is remote. Applications are reviewed continuously, and candidates are considered on promise, technical skill and how keen they are to learn.
Attention on this post
15 reactions on the hiring post Moderate attention
Next to similar hiring posts, this one is drawing a moderate amount of attention. That gives you a rough sense of how busy it may be as you plan your application.
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What to do before you apply
- Choose one or two projects you have built and practise explaining how you prepared the data, picked features and judged the model's results.
- Brush up your Python, since the post puts it at the centre of the work.
- Push your project code to Git with a clear README, so your documentation and testing habits are easy to see.
- Have a short story ready about a bug or failed experiment you worked through. The post values troubleshooting and learning from mistakes.
- Be ready to walk someone through a small prototype or experiment, since the post stresses having something to show in interviews.
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About this listing
- Passed Hopin's scam screen
This came in as a recruiter's post and passed Hopin's scam screen. Do read the role details closely before deciding.
Questions people ask about this role
Is this AI/ML internship remote?
Yes. The post describes the internship as remote and project-based.
Do I have to be an expert in machine learning?
No. The post says expertise is not required and welcomes people whose experience comes from courses, tutorials or personal projects. It does look for problem-solving skills, quick learning and a responsible attitude toward work.
What kind of work does the internship involve?
The post lists data analysis and preparation, feature engineering, training and evaluating ML models, Python and AI/ML tooling, real-world data sets, prototyping, and practices such as Git, documentation and testing.