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Early career, real ownership

Junior ML / LLM Engineer

ML

Junior Full-Time Remote / Guwahati Permanent

Compensation

INR 8 - 15 LPA.

Engagement

Full-Time

Permanent role. Full-time commitment. Primarily on-site, with limited remote flexibility.

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

Python fluencyPyTorch basicsComfort with LLM APIsEagerness to read papersStrong evaluation instinct in formation

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.

05 — Hiring process

What to expect after you apply

  1. 01

    Application review

    Every application is read personally within five business days. We respond either way.

  2. 02

    Take-home or live exercise

    Role-specific. Time-boxed. Real problems we are actually working on, not invented puzzles.

  3. 03

    Conversations

    Deep technical and values conversations with the team you would join. No trick questions. No panel ambushes.

  4. 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.

Application fee

CHF 1

Junior tier

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. The small per-application fee covers the real cost of processing your application — human review, identity verification, infrastructure, reviewer time. It buys us the right to be honest. Genuine financial hardship? Request a fee waiver inside the application — reviewed individually within 5 business days, with no record in your file and no second-class treatment of waiver-granted applications.

Full transparency policy Why we charge a fee Questions? Email us

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.

Junior Full-Time

Junior ML / LLM Engineer

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