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Machine Learning Trainee

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Posted:2 days ago| Platform: Linkedin logo

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Full Time

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About the Role

Machine Learning Trainee (Intern)

Key Responsibilities

  • Assist in data preprocessing, cleaning, and feature engineering for various ML tasks.
  • Support the development, training, testing, and evaluation of machine learning models.
  • Participate in model deployment and performance monitoring.
  • Conduct literature reviews and research to identify appropriate ML algorithms.
  • Visualize and interpret results using tools like Matplotlib, Seaborn, or Power BI.
  • Document workflows, experiments, and outcomes clearly and concisely.

Requirements

  • Pursuing or recently completed a degree in Computer Science, Data Science, Engineering, or a related field.
  • Strong knowledge of Python and popular ML libraries (scikit-learn, pandas, NumPy, etc.).
  • Basic understanding of machine learning concepts such as supervised and unsupervised learning, model evaluation, and overfitting.
  • Familiarity with Jupyter Notebooks, version control (Git), and data handling.
  • Good problem-solving and analytical skills.

Preferred Qualifications

  • Exposure to deep learning frameworks (TensorFlow, PyTorch) is a plus.
  • Understanding of cloud platforms (AWS, GCP, or Azure) is a bonus.
  • Prior hands-on experience through academic or personal ML projects.

What You’ll Gain

  • Hands-on experience with real-world ML problems and datasets.
  • Mentorship from industry professionals.
  • Certificate of Internship upon successful completion.
  • A strong foundation to pursue advanced roles in AI and ML.


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