Last date Thu, 31 Dec 2026

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Workloom DS/ML intern Bangalore 2026 is the DS/ML Intern card on the Lever board that hosts Workloom jobs. Team line: Engg. Type: Intern. Work mode: On-site. City: Bangalore. Apply on this Lever card. Last date and stipend are not printed. The Apply button was live on 6 October 2026.

What Workloom actually does

The card describes a small team building a product, not a research lab. The work it names is evaluation of AI features, routing jobs across models by cost, quality and latency, scoring noisy real-world signals, and the path from a model to production. A Class 12 student can read “DS/ML intern” as: data science and machine learning. You are not only training a model in a notebook. The card wants someone who can also touch product questions, backend, frontend or data pipelines if the product needs it.

The apply URL sits on jobs.lever.co/epifi. The page footer says Workloom. Use the Lever card, not a forwarded PDF. If a mail does not match this URL, stop.

What kind of role this Workloom DS/ML intern Bangalore 2026 seat is

Private-sector, on-site, Bangalore. Not remote. Duration in months is not printed. A bond is not printed. A pre-placement offer is not printed. The card says the best fit treats ML systems as the main craft and is still willing to ship other code.

Who should apply — and who should skip

Apply if you are pursuing or have recently completed a degree in computer science, data science, machine learning, or a related field, you have built something end to end (coursework, a personal project, research, or a prior internship), you can use Python and SQL, and you can sit on-site in Bangalore.

Skip if your only ML work is an untouched notebook, if you cannot explain what a metric means, or if you need a work-from-home seat. Nice-to-have lines: evaluation or observability tools for LLM features; information retrieval or record-linkage projects; interest in developer-productivity data. Those are not the minimum.

Dates and fee

Item	On the official Lever card
Apply start	Not printed. Card open when checked on 6 October 2026.
Last date	Not printed. No time of day.
Fee	None printed.
Stipend	Not printed.
Work mode	On-site, Bangalore.

Available positions

1. DS/ML Intern — stipend not printed On-site Bangalore

Eligibility criteria
Must have, as printed: currently pursuing or recently completed a degree in CS, DS, ML, or a related field. Some hands-on DS/ML experience where you built and ran something end to end, not just notebooks. Comfort with Python and working SQL. Basic applied statistics — you can explain what a metric means and when it might mislead. A builder instinct toward product, backend or frontend, not only the model. Some exposure to LLMs: prompting, APIs, or experimenting with model behaviour.

Work named on the card: failure taxonomies, LLM-as-judge rubrics, golden datasets, calibration against human judgment; model routing experiments; scoring noisy signals; feature pipelines, model versioning, rollout, and monitoring for drift.

No category-wise vacancy split is printed on this notice.

Total vacancies — not numbered.

Educational qualifications

Post	Degree / marks	Experience / extras
DS/ML Intern	CS, DS, ML, or a related field, in progress or recently completed. Marks not printed.	End-to-end DS/ML work. Python and SQL. Applied statistics. Some LLM exposure. On-site Bangalore.

Selection

Apply on the Lever card. Stages, test dates and interview rounds are not printed.
The card says AI tools may help review applications. It also says final hiring decisions are made by humans.
No offer conversion rate is printed.

How to prepare (free, official)

This DS/ML Intern card
Keep one project you can explain: what the metric was, when it would lie, and what you changed. That matches the statistics line on the card.

How to apply without getting played

Open the Lever URL. Do not pay a referral shop.
The board host is jobs.lever.co/epifi and the role title is Workloom. If a form uses another domain, it is not this card.
Link the project. A line that says “familiar with ML” without a build will not match the must-have list.
Confirm you can be in Bangalore. The card says on-site.

FAQs

What is the last date?
Not printed. No time. Use the Apply button on the Lever card.

Who can apply?
Students or recent graduates in CS, data science, machine learning, or a related field, with Python, SQL, a real project, and some LLM exposure.

How many vacancies?
Not numbered.

Where do I apply?
jobs.lever.co/epifi DS/ML Intern card.

What is the fee?
None printed.

Can final-year students apply?
The card says currently pursuing or recently completed. It does not print a batch year. On-site Bangalore is required.

Is the stipend printed?
No. Do not copy a number from a Telegram post.

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Workloom DS/ML intern Bangalore 2026 — on-site

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