Machine Learning Intern

Vortenza Systems

IndiaFresher45m agovia LinkedIn

About the Role

  • Assist in developing, testing, and evaluating machine learning solutions for practical applications.
  • Provide practical exposure to data preprocessing, feature engineering, model development, model evaluation, and visualization.

Key Responsibilities

  • Collect, clean, and preprocess datasets for machine learning projects.
  • Perform exploratory data analysis to understand datasets and identify patterns.
  • Assist in selecting relevant features for machine learning models.
  • Develop and train basic machine learning models.
  • Evaluate model performance using appropriate metrics.
  • Assist in improving model accuracy and performance.
  • Create visualizations to communicate analysis and model results.
  • Document experiments, methodologies, and findings.
  • Research machine learning techniques and industry practices.
  • Collaborate with team members on practical machine learning projects.

Qualifications

  • Currently pursuing or recently graduated in Computer Science, Data Science, Artificial Intelligence, Statistics, Mathematics, or a related field.
  • Strong interest in machine learning and artificial intelligence.
  • Willingness to learn and work on practical machine learning projects.

Requirements & Tech Stack

  • Basic knowledge of Python.
  • Understanding of statistics and data analysis concepts.
  • Familiarity with Pandas, NumPy, or Scikit-learn is preferred.
  • Basic understanding of supervised and unsupervised learning concepts.
  • Good analytical and problem-solving skills.
  • Good communication and teamwork skills.

Internship Details

  • Duration: 3 Months
  • Employment Type: Full-Time Internship
  • Stipend: Performance-Based, up to ₹7,500/-
  • Location: Remote
  • For: College Students Only

Perks & Benefits

  • Internship Certificate
  • Letter of Recommendation based on performance
  • Swags and Goodies
  • Opportunity to work on real-world machine learning projects
  • Practical industry exposure and mentorship

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