AI Engineering Intern

Key Responsibilities:

Perform data cleaning, feature engineering, and preprocessing for machine learning tasks.
Assist in training, tuning, and evaluating ML models using tools like Python, Scikit-learn, and TensorFlow.
Collaborate with engineers on AI model deployment strategies and production workflows.
Contribute to technical documentation, research summaries, and experiment reports.
Required Skills & Knowledge:
Strong understanding of machine learning algorithms, concepts, and model development lifecycle.
Hands-on experience with Python and ML libraries such as Scikit-learn, Pandas, and TensorFlow/Keras.
Curiosity for AI research, deep learning models, and data-driven problem-solving.
Ability to write clear, concise documentation and communicate technical ideas effectively.
Who Should Apply:
Final-year students, fresh graduates, or early-stage professionals pursuing a career in AI/ML.
Ideal for research enthusiasts and aspiring data scientists who want to work in a structured, real-time AI environment.