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Open nowPosted 9 days ago

Manager (M1)- Applied AI Engineer

LenDenClub20 open roles

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Your applicationOpen nowManager (M1)- Applied AI EngineerLenDenClub

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The clock on this job

Early applications get read.

12.1% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.1%7 days
  4. 19.1%14 days
  5. 35.6%30 days
  6. 52.7%60 days
This job: posted 9 days ago

The posting

About VARTIS Platforms (Formerly known as LenDenClub Techserve Pvt. Ltd.)

At VARTIS Platforms, we are a corporate group on a mission to democratize credit access and empower millions of people through cutting-edge technology. We focus on building trust and convenience, leveraging AI to drive the information revolution for smarter risk management and operational efficiency. VARTIS Platforms is profitable, rapidly scaling, and industry-recognised. Our impact has been acknowledged with top honours, including being awarded as the Best Fintech Provider by Financial Express, a testament to our product excellence, customer experience, and leadership in regulated financial technology.

Our portfolio includes:

LenDenClub: An RBI-licensed P2P marketplace that connects borrowers with lenders in a seamless digital ecosystem.

InstaMoney: Instant digital loans that enable quick, secure, and accessible financial support.

NiveshGold: India’s next-gen digital vault for wealth preservation, starting with 100% pure, insured 24K digital gold.

UdharSaathi: A structured working capital platform built exclusively for QR active kirana stores, pharmacies, and small retailers.

Role Overview:

We are looking for an Applied AI Engineer to take research through to production. This role offers the opportunity to work in a fast-paced fintech environment, where you will build and ship vision and transformer-based models into live systems.

Must-Have Skills

  1. 3-4 years as an AI Engineer, with at least 2 years hands-on in computer vision or transformer-based models.
  2. Has shipped at least one solution from research to production with measurable business impact.
  3. Hands-on fine-tuning depth dataset prep, transfer learning, LoRA/PEFT, and evaluation of fine-tuned checkpoints.
  4. Multimodal AI expertise, spanning Vision, Language, and Agentic-based solutions for end-to-end task automation.
  5. Ability to break ambiguous product goals into measurable ML tasks and success metrics.

Preferred / Future-Ready Skills

  1. Applied AI across vision, language, and agentic systems document and ID understanding, text and voice workflows, and multi-step agents
  2. Publications, open-source contributions, or paper reimplementations
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