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Machine Learning

Innovexis


Job Location:

Delhi - India

Monthly Salary: Not provided by the employer
Posted: 29 September 2026 (10 hours ago)
Application Deadline: 27 December 2026
Vacancies: 1 Vacancy

Job Summary

Description

Innovexis is seeking a Machine Learning Intern to join our team remotely from India. This internship position offers a unique opportunity to gain hands-on experience in the Education Management industry working on innovative projects that leverage machine learning to transform learning experiences.

As a Machine Learning Intern at Innovexis you will collaborate with experienced professionals to develop test and deploy machine learning models that address real-world educational challenges. You will contribute to meaningful projects that enhance personalized learning student engagement and educational outcomes.

This is a remote internship based in India offering a yearly salary in USD. You will have the chance to work in a dynamic environment that values creativity learning and professional growth while making a tangible impact in the education sector.

Responsibilities
  • Assist in designing and developing machine learning models and algorithms
  • Collect clean and preprocess datasets for training and evaluation
  • Conduct experiments to test model performance and optimize results
  • Collaborate with cross-functional teams to integrate ML solutions into educational products
  • Document code methodologies and findings for team reference
  • Stay updated with the latest trends and research in machine learning
  • Support the deployment and monitoring of ML models in production environments
  • Participate in team meetings and contribute ideas for project improvements
  • Perform data analysis and visualization to support decision-making
  • Assist in troubleshooting and resolving technical issues related to ML projects
Requirements
  • Currently pursuing or recently completed a degree in Computer Science Data Science or a related field
  • Strong understanding of machine learning concepts and algorithms
  • Proficiency in programming languages such as Python or R
  • Familiarity with ML libraries and frameworks (e.g. TensorFlow PyTorch scikit-learn)
  • Basic knowledge of data preprocessing and feature engineering
  • Strong analytical and problem-solving skills
  • Ability to work independently and collaboratively in a remote environment
  • Excellent communication and documentation skills
  • Passion for education and technology-driven solutions
  • Preferred: Experience with data visualization tools (e.g. Matplotlib Seaborn)
  • Preferred: Knowledge of cloud platforms (e.g. AWS Azure GCP)