Machine Learning Intern

0 years

0 Lacs

Posted:9 hours ago| Platform: Linkedin logo

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Remote

Job Type

Full Time

Job Description

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About Hirebridg Connect

Hirebridg Connect empowers emerging professionals through immersive, project-based internships that simulate real industry challenges. Our Machine Learning Internship is designed to help candidates build robust ML foundations while working on real-world datasets, developing predictive models, and contributing to intelligent automation solutions.

Role Overview

As a Machine Learning Intern, you’ll dive into supervised and unsupervised learning techniques, experiment with algorithms, and help build scalable models. You’ll collaborate with data scientists and engineers to solve business problems using machine learning and AI-driven approaches.

Key Responsibilities

  • Collect, preprocess, and analyze structured and unstructured data
  • Implement and evaluate machine learning models using Python libraries such as scikit-learn, TensorFlow, or PyTorch
  • Perform feature engineering and model tuning to improve accuracy
  • Collaborate on real-world ML projects including classification, regression, clustering, or natural language processing
  • Visualize model performance and communicate insights to stakeholders
  • Document workflows, experiments, and results for reproducibility

Requirements

  • Pursuing or recently completed a degree in Computer Science, Data Science, AI, or a related field
  • Strong foundation in statistics, linear algebra, and probability
  • Proficiency in Python and familiarity with ML libraries
  • Understanding of machine learning algorithms and model evaluation techniques
  • Experience with Jupyter Notebooks, Git, and basic data visualization tools
  • Curiosity, attention to detail, and good communication skills

What You’ll Gain

  • Hands-on experience building and deploying ML models
  • Internship Completion Certificate
  • Letter of Recommendation for top performers
  • Exposure to real-world AI workflows and experimentation pipelines
  • A portfolio of ML projects and documented case studies


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