Responsibilities

- Develop, train, and evaluate machine learning models using Python.

- Perform data collection, cleaning, preprocessing, and feature engineering.

- Implement supervised and unsupervised machine learning algorithms.

- Work with libraries such as Scikit-learn, TensorFlow, PyTorch, Pandas, and NumPy.

- Analyze datasets to identify patterns, trends, and insights.

- Build predictive models for real-world business applications.

- Assist in model optimization, testing, and performance evaluation.

- Collaborate with Data Science and Software Development teams.

- Use Git and GitHub for version control and project collaboration.

- Prepare technical documentation and submit assigned tasks within deadlines.

Requirements

- Basic knowledge of Python programming.





- Understanding of machine learning concepts and algorithms.

- Familiarity with Pandas, NumPy, Matplotlib, and Scikit-learn.

- Basic knowledge of data preprocessing and exploratory data analysis.

- Understanding of classification, regression, and clustering techniques.

- Basic knowledge of statistics and mathematics.

- Familiarity with Jupyter Notebook, Google Colab, and GitHub.

- Strong analytical, problem-solving, and communication skills.

- Willingness to learn current AI/ML technologies and work on real-world projects.

📌 Machine Learning Engineer Internship (India)
🏢 Leading
📍 India