Machine Learning Internship

Job Title:

Company:

About the Role

Machine Learning Intern

Responsibilities

• Assist in collecting, cleaning, and preprocessing structured and unstructured data
• Develop and train machine learning models for classification, regression, or clustering tasks
• Implement algorithms using Python and ML libraries such as

  scikit-learn

  ,

  TensorFlow

  , or

  PyTorch

• Evaluate model performance using appropriate metrics and fine-tune for accuracy
• Collaborate with data scientists and engineers to deploy models into production
• Document experiments, findings, and model behavior for future reference

Requirements

• Strong foundation in

  Python

  and libraries like

  NumPy

  ,

  Pandas

  , and

  Matplotlib

• Basic understanding of machine learning concepts (e.g., supervised/unsupervised learning, overfitting, cross-validation)
• Familiarity with ML frameworks such as

  scikit-learn

  ,

  TensorFlow

  , or

  PyTorch

• Experience with Jupyter Notebooks and version control tools like

  Git

• Good analytical and problem-solving skills
• Bonus: Exposure to

  NLP

  ,

  computer vision

  , or

  deep learning

What You’ll Gain

• Hands-on experience with real-world datasets and ML pipelines
• Mentorship from experienced AI professionals
• Internship Certificate upon successful completion
• Exposure to MLOps and deployment workflows
• Potential opportunity for a full-time role based on performance

Enerzcloud Solutions offers a collaborative and innovation-driven environment for aspiring machine learning engineers. If you're ready to turn algorithms into impact, we’d love to hear from you.