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)
- Has debugged a model quality regression in production and traced it back to a data or training root cause. tech) [{"name": "full_time", "text": "Full time", "categoryName": "Type of employment"}, {"name": "work_at_office", "text": "Work at office", "categoryName": "Working conditions"}]
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