ML Intern Internship

About Internship

Assistant Professor , Department of Artificial Intelligence and Data Science , from Anjuman College of Engineering and Technology , is accepting interns interested in the field of Computer Science Engineering, in the research area of Artificial intelligence and Machine learning.

Selected interns are going to work on projects like deepfake detection, neurological disease disorders, ML application development, etc. The requirements for the ML Intern position are as follows: 1. Technical Skills: Proficiency in Python or R with libraries like NumPy, Pandas, Scikit-learn, TensorFlow, or PyTorch. Basic understanding of linear algebra, calculus, probability, and statistics. Experience with data preprocessing, including handling missing values, normalization, and feature engineering. Familiarity with ML algorithms such as regression, decision trees, and clustering. Knowledge of SQL for structured data; familiarity with NoSQL databases is a plus. Basic understanding of Git and version control systems. 2. Soft Skills: Strong analytical and problem-solving abilities. Effective communication skills to explain technical concepts to non-technical audiences. Ability to work collaboratively in a team environment. Curiosity and eagerness to learn new tools and techniques. 3. Preferred Qualifications: Currently pursuing or recently completed a degree in Computer Science, Data Science, Statistics, or a related field. Hands-on experience through personal ML projects, Kaggle competitions, or internships. Familiarity with data visualization tools like Matplotlib or Seaborn. Exposure to cloud platforms like AWS, Google Cloud, or Azure for deploying ML models. Interest in exploring and applying cutting-edge ML research. This position offers a dynamic environment to apply ML skills and gain real-world experience.