About Codemonk

Codemonk is a rapid-growing product engineering and IT services firm that partners with clients to build scalable digital solutions. From startups to enterprises, we help businesses solve real-world challenges through cutting-edge technology and deep domain expertise. We've partnered with brands like Unilever, Kawada, Tata Power, greytHR, DMG, Experien, and more.

About The Role

We are looking for a motivated Machine Learning Intern to join our team and assist in building and optimizing generative AI models. This internship offers hands-on experience in developing AI applications with the latest machine learning and natural language processing technologies.

Key Responsibilities

- Generative AI
- Algorithm Design &
- Development: Design, implement, and debug machine learning algorithms with a focus on transformer-based models and generative AI applications
- LLM API Integration: Build applications leveraging LLM APIs from OpenAI, Anthropic Claude, Gemini, and other foundation model providers
- RAG Pipeline Development: Construct and fine-tune Retrieval-Augmented Generation (RAG) systems using vector databases such as FAISS, Pinecone, etc.
- AI Application Deployment: Learn to deploy AI applications and models into production environments with proper monitoring and optimization
- Deep Learning &
- Computer Vision
- Model Training &
- Tuning: Working knowledge of training and fine-tuning deep learning models, including adapting pretrained models to new tasks.




- Experimentation: Run and track experiments to compare models, parameters, and datasets, and draw clear conclusions from the results.
- Data Preparation &
- Audit: Help prepare, clean, and audit datasets for relevance, quality, and alignment with the problem being solved.
- Model Evaluation: Evaluate models using appropriate metrics and identify where and why they underperform.
- Optimization &
- Deployment: Basic exposure to making models efficient and helping move them into production.

Required Technical Skills

- Programming Proficiency: Strong foundation in Python programming with knowledge of any generative AI frameworks, including LangChain, LlamaIndex, and Hugging Face libraries, is a plus.
- LLM Integration Experience: Familiarity with LLM APIs (OpenAI GPT-4, Anthropic Claude, Cohere) and interest in building AI applications
- Fundamental Architecture Knowledge: Understanding of Deep Learning Fundamentals, including transformer-based models, attention mechanisms, and their optimization for various AI workloads
- Embedding &
- Vector Systems: Basic understanding of embedding models (OpenAI, sentence-transformers) and vector databases
- Analytical Excellence: Strong problem-solving, debugging, and analytical skills with proven ability to work with complex algorithms and datasets

Note: This is a paid internship.Skills: computer vision,generative ai,machine learning,python,deep learning,genai

📌 Machine Learning Intern (AI/ML) (Bengaluru)
🏢 Codemonk
📍 Bengaluru