Machine Learning Intern

About the Internship

Thinknova is seeking enthusiastic individuals interested in Machine Learning and Artificial Intelligence. This internship offers an opportunity to gain practical experience in data preprocessing, predictive modeling, machine learning algorithms, and intelligent systems through hands-on projects using modern ML technologies.

Key Responsibilities

• Assist in developing, training, and testing Machine Learning models.
• Collect, clean, preprocess, and analyze datasets for ML applications.
• Implement supervised and unsupervised learning algorithms.
• Perform feature engineering, data transformation, and exploratory data analysis.
• Evaluate model performance using appropriate metrics and optimization techniques.
• Work with Python and popular Machine Learning libraries.
• Explore predictive analytics, classification, regression, and model deployment.
• Collaborate with team members on assigned Machine Learning projects.

Requirements & Tech Stack

• Basic understanding of Machine Learning concepts and algorithms.
• Familiarity with Python programming.
• Knowledge of Pandas, NumPy, and Scikit-learn is an advantage.
• Basic understanding of data preprocessing, statistics, and data visualization.
• Familiarity with TensorFlow, PyTorch, or Deep Learning concepts is a plus.
• Knowledge of classification, regression, and predictive modeling is beneficial.
• Strong analytical thinking and problem-solving skills.
• Good communication skills and willingness to learn.
• Ability to work independently in a remote environment.

Qualifications

• Students, freshers, graduates, working professionals, self-taught learners, and career switchers interested in Machine Learning are welcome to apply.