Machine Learning Intern, India

Skillzenloop

IndiaFresher1h agovia LinkedIn

About the Role

Skillzenloop is seeking a motivated Machine Learning Intern interested in artificial intelligence, predictive modeling, and data-driven problem-solving. The intern will gain practical experience in machine learning workflows by assisting with dataset preparation, algorithm experimentation, model evaluation, and supporting the development of intelligent solutions.

Key Responsibilities

  • Assist in preparing, cleaning, and preprocessing datasets for machine learning tasks.
  • Explore datasets to identify patterns, relationships, and relevant features.
  • Implement basic machine learning algorithms using Python.
  • Work with libraries such as Scikit-learn, Pandas, and NumPy.
  • Assist in developing classification, regression, and clustering models.
  • Support feature selection and feature engineering activities.
  • Evaluate model performance using appropriate metrics.
  • Conduct experiments to compare different algorithms and modeling approaches.
  • Assist in identifying overfitting, underfitting, and model performance issues.
  • Create visualizations to communicate experimental results.
  • Document model development processes, experiments, and findings.
  • Research machine learning techniques and contribute to project improvements.
  • Collaborate with team members to understand project objectives and technical requirements.

Requirements & Tech Stack

  • Basic knowledge of Python programming.
  • Understanding of fundamental machine learning concepts.
  • Familiarity with Pandas, NumPy, and Scikit-learn is preferred.
  • Basic understanding of statistics and probability.
  • Knowledge of supervised and unsupervised learning concepts is beneficial.
  • Familiarity with Jupyter Notebook or Google Colab is an advantage.
  • Basic knowledge of data preprocessing and visualization.
  • Understanding of model evaluation metrics is preferred.
  • Strong analytical thinking and problem-solving abilities.
  • Willingness to learn new algorithms, tools, and techniques.

Qualifications

  • Candidates pursuing or holding a degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, Statistics, or a related field may apply.
  • Freshers and entry-level candidates are welcome.
  • Candidates with academic projects or personal machine learning experiments are encouraged to apply.
  • Applicants should have access to a computer and a reliable internet connection.

Internship Details

  • Duration: 1–3 Months
  • Stipend: ₹15,000–₹16,000 per month
  • Employment Type: Full-time Internship
  • Work Mode: Remote
  • Location: India

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