AI/ML Engineering Interns

19 hours ago

Bengaluru, Karnataka, India Logikality Full time ₹ 15,00,000 - ₹ 30,00,000 per year

About Logikality

Logikality is building
AI-powered mortgage decision intelligence,
guideline-defensible decisions
with full audit trails for regulators and investors.

Lenders today lose money on every loan. Back-office costs have exploded from roughly $7,600 to over $11,000–$12,600 per loan, and 70–90% of the work is still manual despite decades of "automation."

We've built a platform that:

  • Processes
    180–250 pages/minute
    at ~
    98% accuracy
  • Automates underwriting decisions and conditions with
    70–75% acceptance
  • Validates loans against
    200+ Fannie/Freddie/investor rules
    with full explainability and auditability
  • Delivers
    $1,500–2,000 savings per loan
    ,
    4–6.5 hours
    manual effort saved, and
    payback in under 30 days
    (625–1000% ROI)

Under the hood, we have a
15,000+ document golden test set
and an
evidence-first architecture
where every decision is backed by traceable data, rules, and timestamps that regulators can trust.

What you'll work on

As an
AI/ML Intern
, you'll work directly with the founding team (IIT + Fortune 500 AI + mortgage veterans) on problems like:

  • Turning a messy loan file into a
    self-organizing workspace
    : documents auto-classified, data extracted, and linked back to evidence.
  • Building and evaluating models that
    compute borrower income
    across W-2s, paystubs, rental income, SSI, etc., then explain the math in auditor-ready language.
  • Designing copilot-style workflows that
    generate underwriting conditions
    , track resolution, and minimize rework.
  • Working on
    LLM + retrieval + rules
    pipelines that must be
    explainable
    and
    safe
    in a regulated environment.
  • Using our
    15k+ document golden dataset
    plus underwriter feedback to create lender-specific playbooks and continuous learning loops.

You'll see
real production data and constraints
(under NDA), not toy Kaggle problems.

What you'll learn

  • How to build
    decision-ready AI
    , not just models that output numbers.
  • How to design for
    auditability and provenance
    as first-class citizens.
  • How to ship ML in a
    highly regulated, high-stakes
    domain.
  • How to work with a small, senior team where your work is
    immediately visible
    .

Who we're looking for

We care more about
traits
than buzzwords. Our ideal interns score high on:
coachability, curiosity, prior success, intelligence, and work ethic
.

Must-haves

  • Strong programming skills in
    Python
    (NumPy / Pandas / basic PyTorch or TensorFlow).
  • Solid ML fundamentals: supervised learning, evaluation metrics, overfitting/regularization, basic NLP.
  • Evidence of
    prior success
    in something hard: projects, research, competitions, open-source, startups, Olympiads, etc.
  • High
    curiosity
    – you self-teach; you've gone down rabbit holes on your own.
  • Ability to commit
    20+ hours/week
    for
    6 months
    .
  • Comfortable with a
    high-intensity, unpaid internship
    where the main "compensation" is learning, network, and a serious shot at a core role.

Nice-to-haves

  • Experience with
    NLP / LLMs / RAG
    , or productionizing ML systems.
  • Interest/experience in
    fintech, lending, credit risk, or mortgages
    .
  • Experience designing
    data/label pipelines
    and evaluation harnesses.

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