Machine Learning Internship (Work from Home, Part-Time)
Remote · Part Time internship
దరఖాస్తు చేసుకునే వారిలో మొదటి వ్యక్తిగా ఉండండి
- స్టైపెండ్
- Stipend: INR 10,000 – INR 25,000 / month
- వ్యవధి
- 2 months
- ప్రారంభించండి
- వెంటనే
- ఖాళీలు
- 10
Only candidates who can work remotely, start between 22nd Jun'26 and 27th Jul'26, stay for the full 2-month duration, and bring relevant skills and interest are eligible to apply.
- Work mode
- ఇంటి నుండి పని
- Resume
- Required to apply
ఇంటర్న్షిప్ గురించి
About the internship
This remote, part-time machine learning internship is designed for candidates who are eager to learn and contribute to practical data science work. You will partner with the data science team to build, evaluate, and roll out machine learning solutions that address real business problems.
What you'll do
- Develop and fine-tune machine learning models for tasks such as classification, regression, and clustering.
- Prepare datasets by cleaning, transforming, and organizing large volumes of data for training and testing.
- Use Python and common ML/data tools such as scikit-learn, TensorFlow or PyTorch, Pandas, and NumPy.
- Support the creation of APIs or dashboards that present model outputs and insights.
- Coordinate with other teams to help take ML solutions into production.
- Keep work well documented and share progress and findings regularly.
Who can apply
This opportunity is open only to applicants who can work from home, can begin between 22nd Jun'26 and 27th Jul'26, can commit to a 2-month internship, and have relevant skills and interest in the domain.
Stipend
The internship offers a monthly stipend of INR 10,000 to 25,000.
Perks
Interns will receive a certificate, a letter of recommendation, flexible work hours, and a 5-day work week.
About the company
The organization behind this role is a leading chemical manufacturing company in India, known for producing high-purity aldehydes. Its core focus includes salicylaldehyde and coumarone, and its products cater to industries such as pharmaceuticals, agrochemicals, fragrances, and resins.
Additional information
The career platform associated with this posting positions itself as a career development space that helps students and professionals build job-ready skills through hands-on projects, mentoring, and practical training across technology, business, and creative areas.
Application deadline
The last date to apply is 22nd Jul'26 at 11:59 PM.