We are looking for a motivated AI/Machine Learning Intern to join our engineering team. The intern will assist in developing, testing, and deploying AI and machine learning solutions while working closely with experienced engineers on real-world projects involving Large Language Models (LLMs), data processing, and intelligent automation.
Key Responsibilities
- Develop and test machine learning models using Python.
- Work with datasets for cleaning, preprocessing, and feature engineering.
- Build and evaluate AI/ML models for classification, prediction, and recommendation tasks.
- Integrate AI models with web applications and APIs.
- Assist in developing applications using Large Language Models (LLMs).
- Debug and optimize AI pipelines for performance and scalability.
- Collaborate with developers to deploy AI solutions using Docker and cloud platforms.
- Document experiments, model performance, and technical findings.
- Stay updated with the latest AI and machine learning technologies.
Required Skills
- Basic knowledge of Python programming.
- Understanding of Machine Learning concepts and algorithms.
- Familiarity with libraries such as NumPy, Pandas, Scikit-learn, or PyTorch/TensorFlow.
- Knowledge of Git and Linux command line.
- Basic SQL and database concepts.
- Good analytical and problem-solving skills.
- Strong communication and teamwork abilities.
Preferred Skills
- Experience with Large Language Models (LLMs).
- Knowledge of Retrieval-Augmented Generation (RAG).
- Experience with Hugging Face Transformers or LangChain.
- Familiarity with Docker and cloud platforms such as AWS, Azure, or Google Cloud.
- Exposure to vector databases such as Pinecone, FAISS, or ChromaDB.
- Basic understanding of REST APIs and backend development.
Qualifications
- Pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Information Technology, or a related field.
- Passion for AI, Machine Learning, and software development.
Pay: From ₹100,011.00 per year
Work Location: Hybrid remote in Jodhpur, Rajasthan
