Machine Learning – Internship (WFH)
Diffzene has an open Machine Learning internship advertised on Internshala. It is a 3-month work-from-home opportunity for applicants in India. The employer lists 17 openings and ₹10,000–20,000 fixed + ₹2,000–5,000 incentives/month. This article summarises the complete employer-posted listing, rather than presenting it as a separately issued government or official-company recruitment notice.
The original listing date is 29 October 2026. Applications close on 28 November 2026, with a joining window of 29 October–3 December 2026. The last date to apply and the range of possible joining dates are different: applicants should submit before the application deadline even if they intend to start later within the joining window.
Key details
| Employer | Diffzene |
|---|---|
| Role | Machine Learning |
| Work arrangement | Work from home, India |
| Duration | 3 months |
| Openings | 17 |
| Stipend | ₹10,000–20,000 fixed + ₹2,000–5,000 incentives/month |
| Application deadline | 28 November 2026 |
| Joining window | 29 October–3 December 2026 |
What will the intern do?
- Assist with development and implementation of machine-learning models.
- Analyse data and suggest improvements to business processes.
- Identify potential applications with cross-functional teams.
- Prepare data, engineer features and evaluate model performance.
- Support deployment, maintenance, research and experiments while keeping up with relevant tools and methods.
This role combines modelling with data preparation and production support. The employer’s responsibilities include feature engineering and evaluation, making the reasoning behind an experiment as relevant as the final output.
Python and R are named alongside NLP, deep learning and data-science skills. The source does not assign proficiency levels or list selection rounds, so applicants should explain the tools they have used and the tasks they completed without inventing employer requirements.
Eligibility and required skills
Relevant skills and interests, full three-month availability for WFH work and ability to join in the advertised start window. No specific degree, branch or graduation-batch restriction appears in the complete visible employer eligibility.
The source also welcomes women who want to start or restart their careers. Applicants should check the complete conditions and their availability before submitting. The source does not provide a daily hours total. Do not assume a work schedule beyond what is explicitly stated.
Advertised skills: Artificial intelligence, Data Analytics, Data Science, Deep Learning, Machine Learning, Natural Language Processing, Python, R Programming. The listing does not assign proficiency scores to these skills. Be accurate about the projects and tools you have actually used.
Stipend, perks and conditions
The listing’s headline amount is ₹12,000–25,000/month advertised total. Its detailed breakdown is ₹10,000–20,000 fixed + ₹2,000–5,000 incentives/month. Incentives are variable and should not be described as guaranteed fixed pay. The source does not explain incentive targets or payment conditions; confirm those terms with the employer.
Certificate, letter of recommendation, flexible hours and a five-day week are listed.
The verified listing does not specify a permanent-conversion salary or guarantee a job after the internship. Selection stages are not disclosed unless separately stated in the requirements above.
How to apply
- Open the exact Internshala listing linked below and read its current responsibilities, eligibility and stipend terms.
- Select Apply now and sign in or register using the platform’s candidate flow.
- Complete your profile and answer the questions shown for this opening honestly.
- Provide any material explicitly requested by the employer, including portfolio links where required.
- Submit before 28 November 2026 and follow subsequent employer communications through the platform.
View the Machine Learning internship and apply on Internshala
Jobsii preparation note
Jobsii suggests being ready to explain a model’s purpose, how you evaluated it and what you would improve. This is preparation guidance, not an additional compulsory qualification.
This opportunity was checked on 29 October 2026. Application availability and terms may change. Recheck the current employer-posted listing before applying, and clarify payment, availability and onboarding expectations before accepting an offer. Applying does not guarantee shortlisting or selection.
