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Machine Learning Engineering Internship

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Deadline: 15/09/2026

Skills for this role

Skills we detected for this role.

  • Python
  • Git
  • Machine Learning
  • scikit-learn
  • Pandas
  • NumPy
  • Data Analysis
  • Deep Learning
  • PyTorch
  • TensorFlow

Opportunity brief

Responsibilities

  • Analyze datasets and identify useful patterns.
  • Build and test machine learning models.
  • Evaluate and improve model performance.
  • Assist in integrating ML models into practical applications.
  • Complete assigned tasks within deadlines.
  • Document code, experiments, and results.
  • Work on real-world Machine Learning and AI projects.
  • Develop, train, evaluate, and optimize ML models.
  • Perform data preprocessing and exploratory data analysis.
  • Implement machine learning algorithms using Python.
  • Collaborate with the team on AI/ML projects.

Requirements

  • Pursuing or recently completed a degree in Computer Science, AI, Data Science, Engineering, or a related field.
  • Basic understanding of Machine Learning and Artificial Intelligence.
  • Good knowledge of Python.
  • Familiarity with NumPy, Pandas, and Scikit-learn.
  • Understanding of data preprocessing and model evaluation.
  • Strong analytical and problem-solving skills.
  • Willingness to learn and work on real-world projects.
  • Previous ML/AI projects or GitHub experience is a plus.

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