- Stipend
- Not disclosed by employer
- Location
- Bengaluru, Karnataka, India
- Work mode
- On-site
- Eligible batch
- Not mentioned
- Apply by
- No deadline listed – apply early
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About the role
Apply via Codemonk’s official careers page (applications go to the company’s PyjamaHR ATS). Codemonk is hiring a Machine Learning Intern (AI/ML) for an on-site internship in Bengaluru, Karnataka, India, listed as 0–1 years experience. The intern will help build and optimize generative AI models and work on LLM-powered applications, RAG pipelines, and deep learning / computer vision. The posting was live on the company careers site when checked on 15 Nov 2026. Compensation is not listed; the posting says it is discussed at the offer stage.
Responsibilities
- Design, implement, and debug machine learning algorithms with a focus on transformer-based models and generative AI applications
- Build applications leveraging LLM APIs from OpenAI, Anthropic Claude, Gemini, and other foundation model providers
- Construct and fine-tune Retrieval-Augmented Generation (RAG) systems using vector databases such as FAISS, Pinecone, etc.
- Learn to deploy AI applications and models into production environments with proper monitoring and optimization
- Help train and fine-tune deep learning models, including adapting pretrained models to new tasks
- Run and track experiments to compare models, parameters, and datasets, and draw clear conclusions from the results
- Help prepare, clean, and audit datasets for relevance, quality, and alignment with the problem being solved
- Evaluate models using appropriate metrics and identify where and why they underperform
- Gain basic exposure to making models efficient and helping move them into production
Requirements
- 0–1 years experience (as stated on the posting)
- Strong foundation in Python programming; knowledge of generative AI frameworks including LangChain, LlamaIndex, and Hugging Face libraries is a plus
- Familiarity with LLM APIs (OpenAI GPT-4, Anthropic Claude, Cohere) and interest in building AI applications
- Understanding of deep learning fundamentals, including transformer-based models, attention mechanisms, and their optimization for various AI workloads
- Basic understanding of embedding models (OpenAI, sentence-transformers) and vector databases
- Strong problem-solving, debugging, and analytical skills with proven ability to work with complex algorithms and datasets
Benefits
- An annual budget for courses, conferences, or certifications, used at your discretion
- Flexible working hours with core collaboration hours with the client’s team
- Comprehensive medical insurance for you and your dependents from day one
- Ownership from day one on the pod that ships the system
- Compensation is discussed and finalised directly with you at the offer stage, based on experience and scope
Required Skills
One-time payment · No auto-renewal
- 12-hour early access
- Premium WhatsApp group
- 1:1 interview counseling
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Frequently Asked Questions
What is the salary for Machine Learning Intern (AI/ML)?
The listed salary for Machine Learning Intern (AI/ML) at Codemonk is Not Disclosed.
Where is this Machine Learning Intern (AI/ML) role located?
This position is based in Bengaluru, Karnataka, India (Onsite).
What experience is required for Machine Learning Intern (AI/ML)?
Candidates are expected to have 0–1 years of experience for this role.
How do I apply for Machine Learning Intern (AI/ML) at Codemonk?
Apply through the Apply button on this HireDoor job page for Machine Learning Intern (AI/ML) at Codemonk.
What are the key benefits for Machine Learning Intern (AI/ML)?
Key benefits include: An annual budget for courses, conferences, or certifications, used at your discretion; Flexible working hours with core collaboration hours with the client’s team; Comprehensive medical insurance for you and your dependents from day one; Ownership from day one on the pod that ships the system; Compensation is discussed and finalised directly with you at the offer stage, based on experience and scope.