Machine Learning Intern

About the Role

Talent to Job is seeking a motivated and analytical Machine Learning Engineer to join its team. In this role, you will contribute to developing, training, testing, and evaluating machine learning models for practical business applications. You will work with datasets, apply machine learning algorithms, perform feature engineering, evaluate model performance, and develop data-driven solutions to real-world problems.

Key Responsibilities

• Collect, clean, and preprocess datasets for machine learning projects.
• Perform exploratory data analysis (EDA) to understand datasets and identify patterns.
• Identify and select relevant features for machine learning models.
• Develop, train, and test machine learning models.
• Evaluate model performance using appropriate metrics and techniques.
• Optimize models to improve accuracy, efficiency, and overall performance.
• Create visualizations to communicate analytical findings and model results.
• Document experiments, methodologies, and technical findings.
• Research emerging machine learning techniques, algorithms, and industry practices.
• Collaborate with team members on machine learning and AI-based projects.
• Assist in developing machine learning solutions for real-world applications.

Requirements & Tech Stack

• Basic to intermediate knowledge of Python programming.
• Understanding of statistics and data analysis concepts.
• Familiarity with Pandas, NumPy, and Scikit-learn.
• Basic understanding of supervised and unsupervised learning algorithms.
• Knowledge of data preprocessing and feature engineering.
• Understanding of machine learning model evaluation techniques.

Qualifications

• Bachelor's degree or currently pursuing a degree in Computer Science, Data Science, Artificial Intelligence, Statistics, Mathematics, or a related field.
• Strong interest in machine learning and artificial intelligence.
• Understanding of fundamental machine learning concepts and algorithms.
• Ability to work with datasets and solve analytical problems.
• Willingness to learn new technologies and contribute to practical machine learning projects.
• Strong analytical and problem-solving skills.
• Good communication, research, and teamwork skills.

Perks & Benefits

• Performance-based compensation up to ₹35,000/-.
• Opportunity to work on real-world machine learning and AI projects.
• Professional guidance and industry exposure.
• Recognition for outstanding performance.
• Opportunity to develop practical technical and analytical skills.