Machine Learning Internship

• Work with the data science team to build and put into use machine learning models that predict health outcomes.
• Go through large datasets and pull out trends that can guide the foundation's healthcare work.
• Tune algorithms so the predictive models become more accurate and run more efficiently.
• Help plan and run experiments that test whether a machine learning solution actually works.
• Present findings and recommendations to stakeholders in reports and presentations.
• Keep up with new developments in machine learning and healthcare technology, and help keep the team environment inclusive.

You need to be available for a work-from-home internship of 1 month, starting between 16th Oct'26 and 20th Nov'26. The post also asks for relevant skills and interests.

• Freshers looking for jobs can apply.
• Women wanting to start or restart their career can also apply.
• The skills listed are Python, Data Analytics, Machine Learning, R Programming, Data Science, NLP, Deep Learning and Artificial Intelligence.

The stipend is unpaid. The post lists a certificate, a letter of recommendation, flexible work hours and a job offer as perks.

• Have one or two small projects ready in Python or R, ideally one that predicts something from a dataset. It gives you something concrete to talk about.
• Practise explaining a result in plain words. The work ends in reports and presentations, so clear communication counts.
• Revisit the basics of model accuracy and how you would test whether a model works, since experiments and tuning are part of the job.
• Read a little about how machine learning is used in health. It helps you show real interest in the field.
• Be clear about your availability in the one-month window, as the post is strict about start dates.