AI & Machine Learning Intern

We are looking for motivated AI and Machine Learning Interns who are interested in developing practical machine learning solutions and working on real-world engineering projects.

Responsibilities:

• Develop and implement machine learning models using Python.
• Work with structured and unstructured datasets.
• Perform data preprocessing, feature engineering, and exploratory data analysis.
• Build, train, evaluate, and optimize ML models.
• Explore Deep Learning, NLP, and Generative AI applications.
• Develop AI-powered applications and integrate models with backend services.
• Write clean, reusable, and maintainable code.
• Collaborate with the engineering team on project development.

Requirements:

• Experience in Python programming.
• Know about Fundamentals of Machine Learning.
• Skills are NumPy, Pandas, and Scikit-learn.
• Basic knowledge of statistics and data analysis.
• Understanding of SQL and databases.
• Familiarity with Git and GitHub.
• Knowledge of Deep Learning, TensorFlow, or PyTorch is an advantage.

Preferred Skills:

• Natural Language Processing (NLP).
• Generative AI and Large Language Models (LLMs).
• LangChain or similar AI frameworks.
• Flask or FastAPI.
• Docker and API integration.

Eligibility:

• B. Tech / B. E. students or graduates in computer science, AI and ML, data science, or related fields.
• Freshers are welcome.
• Candidates with personal projects or GitHub portfolios are encouraged to apply.
• Strong interest in AI engineering and problem-solving.

What You Will Work On:

• Selected candidates will work on practical engineering assignments and project development in areas such as:
• Intelligent document processing.
• Predictive machine learning systems.
• AI-powered recommendation engines.
• NLP-based applications.
• Generative AI solutions.

Skills

Deep Learning, ML, Machine Learning, NLP, NumPy, Python, Scikit-learn, Sklearn, pandas