Internship, AI Engineer

Beschreibung:

Requirements
Academic Background
Currently pursuing or recently graduated with a Bachelor's/Master's degree in a relevant field, including Computer Science, Artificial Intelligence, Machine Learning, Data Science, Electrical Engineering, Mathematics, or Statistics. A minimum CGPA of 3.0 on a 4.0 scale is preferred, ensuring strong alignment with AI/ML professional knowledge.

Technical Skills
* Proficiency in Python programming language and familiarity with ML libraries (TensorFlow, PyTorch, Scikit-learn, NumPy, Pandas).
* Basic understanding of core machine learning algorithms (regression, classification, clustering, neural networks) and their applications.
* Knowledge of data preprocessing techniques (data cleaning, feature engineering, normalization, dimensionality reduction).
* Familiarity with version control tools (Git) is a plus.
* Experience with data visualization tools (Matplotlib, Seaborn, Plotly) is preferred.
* Understanding of cloud platforms (AWS, GCP, Azure) for ML deployment is a bonus.

Soft Skills
* Strong analytical and problem-solving abilities with a logical mindset.
* Excellent communication skills, both verbal and written, to collaborate effectively with team members.
* Self-motivated, proactive, and able to work independently with minimal supervision.
* Passion for AI/ML and eagerness to learn new technologies and methodologies.
* Good time management skills to meet project deadlines