AI & ML-Engineer Intern

Job Overview

Assist in building, training, and evaluating machine learning models using Python and common ML libraries.

• Perform data collection, cleaning, preprocessing, and exploratory analysis on structured and unstructured datasets.

• Implement algorithms for supervised, unsupervised, and deep learning under mentor guidance.

• Conduct experiments, tune hyperparameters, and document results clearly and accurately.

• Support deployment of models through APIs, pipelines, or cloud platforms.

• Research emerging AI/ML techniques and contribute insights to ongoing projects.

• Collaborate with engineering, data, and business teams to translate requirements into solutions.

• Write clean, efficient, and well-documented code following best practices.

• Create visualizations, reports, and presentations to communicate findings.

• Participate in code reviews, sprint meetings, and technical discussions.

• Currently pursuing a degree in Computer Science, Data Science, AI, or related field.

• Strong fundamentals in statistics, linear algebra, and probability concepts.

• Hands-on experience with Python, SQL, and ML frameworks such as TensorFlow or PyTorch.

• Curious, analytical, self-driven, and eager to learn fast in a dynamic environment.

• Internship duration three to six months.