Machine Learning/ AI Intern

Job Summary

Key Responsibilities

• Assist in developing and testing machine learning and AI solutions for real-world business problems.
• Work with Python, Pandas, NumPy, and Scikit-learn for data processing and ML development.
• Support experimentation with LLMs, Generative AI, RAG, and AI APIs.
• Assist in building prototypes and integrating AI models into applications.
• Work with structured and unstructured data using SQL and NoSQL databases.
• Support model training, evaluation, debugging, and performance improvement.
• Gain exposure to Docker, CI/CD, and cloud platforms such as AWS, GCP, or Azure.
• Explore emerging AI/ML models, frameworks, and techniques and share relevant findings with the team.
• Collaborate with senior engineers and cross-functional teams to understand requirements and implement solutions.

Essential Skills

• Good knowledge of Python
• Familiarity with Pandas, NumPy, and data processing

• Basic understanding of Machine Learning concepts
• Familiarity with Scikit-learn
• Exposure to PyTorch or TensorFlow is preferred

• Basic understanding of LLMs and Generative AI
• Familiarity with RAG, embeddings, vector databases, or LLM APIs is a plus
• Academic or personal projects involving OpenAI, Gemini, Claude, Llama, or similar models will be an advantage

• Basic knowledge of SQL
• Understanding of data cleaning, preprocessing, and analysis
• Exposure to NoSQL databases is a plus

• Basic understanding of Docker, Git, and CI/CD
• Exposure to AWS, GCP, or Azure is desirable

What We’re Looking For

• Strong interest in AI/ML and emerging technologies
• Good analytical and problem-solving skills
• Willingness to learn and experiment with new tools and models
• Ability to work independently while knowing when to seek guidance
• Good communication and collaboration skills
• A proactive, curious, and hands-on approach
• Ability to work in a fast-paced environment with changing priorities

Education

• Recently completed a B.Tech/B.E./M.Tech/MCA in Computer Science, AI/ML, Data Science, or a related field.
• Candidates with strong academic, personal, or GitHub AI/ML projects will be preferred.

Good to Have

• ML/AI internship or project experience
• Knowledge of RAG and vector databases
• Experience with LLM APIs
• Familiarity with LangChain, LlamaIndex, Hugging Face, or similar frameworks
• Participation in AI/ML hackathons or competitions
• Strong GitHub/project portfolio