Machine Learning Intern (AI/ML)
Generative AI Development
- LocationBengaluru, Karnataka, India
- TypeInternship
- Stipend₹13,000 / month
Python, Generative AI, Deep Learning, LLM Integration, Vector Databases, Machine Learning, Computer Vision, LLM, RAG, Algorithms
Overview
The intern will work on generative AI projects, focusing on building and optimizing models using transformer-based architectures and LLM APIs. They will also develop RAG systems with vector databases and deploy AI applications into production environments with proper monitoring.
- Pay is stated up front: ₹13,000 / month. Most postings never say.
Summarised by InternDoor from Codemonk’s posting, in our own words. The posting itself is the source of truth, so check it before you apply.
Responsibilities
- Develop generative AI models using transformer-based architectures and LLM APIs
- Build and fine-tune RAG systems with vector databases like FAISS and Pinecone
- Deploy AI applications with monitoring and optimization in production environments
How to apply
- Tailor your resume to the role. Put the work that matches these skills first. InternDoor’s resume tailor does it against this posting.
- Apply on LinkedIn. The application is on linkedin.com, not on InternDoor. We never ask for a fee.
Apply soon: postings like this can close without notice, and this one states no deadline.
Application details
- Posted
- , on LinkedIn
- First seen by InternDoor
- , within 22 minutes of being posted
- Last checked
- : the posting was still in LinkedIn’s search results. We have not checked its application page.
- Application deadline
- Codemonk has not stated one
- Leaves InternDoor
- By , our 30-day limit for LinkedIn listings, or sooner if the application closes
- Application page
- linkedin.com (Easy Apply)
What we checked, and what the dates mean
The date this listing leaves InternDoor is our own rule, not a deadline set by Codemonk. Postings can close earlier, at any time.
InternDoor has recorded 3 engineering postings from Codemonk in India since Oct 2026.
When this listing comes down, this address says the role has closed and lists open roles like it, instead of a dead end.
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