Get the latest updates on AI-powered hiring, career growth, and technical deep-dives delivered to your inbox.
MediNex Workforce
Machine Learning Intern (Remote)Company: Medinex WorkforceJob Type: Full-Time InternshipWork Mode: RemoteDuration: 1–3 MonthsStipend: ₹18,100 per month
Medinex Workforce is seeking a Machine Learning Intern to support the development and evaluation of machine learning solutions. This internship provides practical exposure to data preprocessing, model development, and performance analysis while working remotely with experienced professionals.
Key Responsibilities* Assist in collecting, cleaning, and preparing datasets.* Support the development and testing of machine learning models.* Perform data analysis and feature engineering tasks.* Evaluate model performance and document results.* Collaborate with team members on AI and analytics projects.* Maintain clear documentation of experiments and findings.
Requirements* Currently pursuing or recently completed a Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.* Basic understanding of machine learning concepts.* Familiarity with Python and common data analysis libraries is preferred.* Knowledge of statistics and data visualization is an advantage.* Strong analytical and problem-solving skills.* Good communication and eagerness to learn.
What You’ll Gain* Hands-on experience with machine learning workflows.* Exposure to real-world AI and data science projects.* Mentorship from experienced professionals.* Remote work flexibility.* Internship Certificate upon successful completion.
Interested candidates can apply through LinkedIn with their updated resume.
Medinex Workforce is an equal opportunity employer. Selection decisions are based on qualifications, skills, and business requirements.
Matched to your profile
We surface this role because it matches profiles like yours, not because we vet the employer. Always confirm the pay, location, and remote details on MediNex Workforce's official site before you apply.