Machine Learning
Quick Summary
Description Innovexis is seeking a Machine Learning Intern to join our team remotely from India.
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
~1 min read- →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
~1 min read- 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)
Location & Eligibility
Listing Details
- First seen
- September 29, 2026
- Last seen
- September 29, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 65%
- Scored at
- September 29, 2026
Signal breakdown
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