AI Platform
/Early career, real ownership
Junior ML / LLM Engineer
ML
Compensation
INR 8 - 15 LPA.
Engagement
Full-Time
Permanent role. Full-time commitment. This is an on-site role at Kolkata. It is not remote and not hybrid.
Scope of role
Work on real problems day one. Be supported by senior mentors. Grow fast.
01 — The role
Why this role exists at EduRankAI
Work on LLM features under Staff and Senior ML engineer mentorship. Eval, prompts, retrieval, fine-tuning runs. The role is for engineers who are early in their ML career but already understand that the eval is where the work is, not the prompt. You will pair with Senior ML engineers daily and you will be expected to read at least one paper a week. Growth path is to Mid ML in 12-18 months.
02 — The work
What you will own
- 01 Maintain and extend the eval harness.
- 02 Tune prompts and document the wins/losses, with evals as evidence.
- 03 Help with fine-tuning runs.
- 04 Pair daily with Senior + Staff ML engineers.
- 05 Read ML literature regularly.
03 — The expertise
What we look for
04 — The bar
Who thrives here
- → You have built at least one project on top of an LLM API.
- → You have read at least three frontier ML papers and can describe their core claim in writing.
- → You write evaluation code without being asked to.
- → You can describe an LLM bug you debugged with an eval you wrote.
Terms of Engagement
How working time works at this level
A scheduled week: five days, eight hours a day, with two full rest days.
Type
Junior
Working days
5 per week
Rest days
2 per week
Scheduled week
40 hrs
Per day
8h
Measured by
Objectives agreed at the start of each cycle. Hours recorded for compliance are never used as a performance score.
Where this stands legally
Within the 9-hour day and 48-hour week ceiling of the applicable state Shops and Establishments Act, with at least 24 consecutive hours of weekly rest and a break of at least 30 minutes after five hours of continuous work. Hours are recorded for statutory compliance only. Work beyond the scheduled week is agreed in advance and compensated with time off in lieu.
The full per-level model is published at Working Hours by Level.
05 — Hiring process
What to expect after you apply
- 01
Application review
Every application is read personally within five business days. We respond either way.
- 02
Take-home or live exercise
Role-specific. Time-boxed. Real problems we are actually working on, not invented puzzles.
- 03
Conversations
Deep technical and values conversations with the team you would join. No trick questions. No panel ambushes.
- 04
Offer or honest no
If yes: digital offer letter, signed in-portal, transparent terms. If no: written feedback if you want it.
Before you start
What we will collect. What it costs. What we will not do with it.
We will collect
- Name, email, phone — Account + application updates. No marketing.
- Resume / portfolio link — Human review of your work.
- Date + place of birth — Identity verification only.
- Your written responses — Selection rubric. Read by humans.
- Government ID (later) — Anti-fraud at offer / interview stage. Not at signup.
We will never
- Sell your data
- Share with third-party recruiters
- Use for advertising
- Train models on it
- Send marketing email
Our situation
EduRankAI is a small, independent organization building long-term capabilities in educational intelligence, advanced AI systems, and research infrastructure. We take no advertiser money, no donations with strings attached, and no investor pressure on hiring decisions. Applying is free, and every application is read by a human — recruitment, technical, academic and leadership teams. It buys us the right to be honest.
Ready to apply?
We read every application personally. If you are the right person for this role — regardless of pedigree, background, or where you are based — you will hear back from us within five business days.
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