India
MACHINE LEARNING INTERN (REMOTE) – JULY 2026
Company: Future Interns
Location: Remote (India)
Job Type: Internship (Unpaid)
Duration: 1 Month
Start Date: July 2026
About the Role
Future Interns is inviting applications for the July 2026 Machine Learning Internship.
This internship is designed for individuals interested in machine learning and artificial intelligence who are looking to apply foundational concepts while supporting model development and data-driven projects in a collaborative remote environment.
Interns will contribute to assigned tasks related to data preparation, model development, testing, and documentation under the guidance of experienced mentors.
Responsibilities
• Assist in preparing datasets for machine learning projects.
• Support data preprocessing and feature engineering activities.
• Contribute to developing and evaluating machine learning models.
• Work with Python and machine learning libraries when assigned.
• Analyze model performance and document observations.
• Maintain experiment records and project documentation.
• Participate in team discussions and project reviews.
• Follow established development and documentation practices.
Required Qualifications
• Basic understanding of machine learning concepts.
• Familiarity with Python programming.
• Strong analytical and problem-solving skills.
• Ability to work independently and manage assigned work.
Preferred Qualifications
• Exposure to Scikit-learn, TensorFlow, or PyTorch.
• Familiarity with NumPy or pandas.
• Academic or personal machine learning projects are a plus.
Internship Details
• Location: Remote (India)
• Duration: 1 Month
• Internship Type: Unpaid
• Start Date: July 2026
What You'll Gain
• Practical experience supporting machine learning assignments.
• Exposure to model development workflows.
• Opportunity to strengthen programming and analytical skills.
• Experience working with commonly used machine learning tools.
• Internship Completion Certificate upon successful completion.
• Performance-based Letter of Recommendation, where applicable.
Application Process
Applications are accepted through the LinkedIn application process.
Applications will be reviewed on a rolling basis, and shortlisted candidates may be contacted regarding the next steps.