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Open nowPosted 5 hours ago

ML Engineer (Intelligence) - Bengaluru

CLANX27 open roles

Where
Bengaluru, Karnātaka, India
Work mode
On site
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Your applicationOpen nowML Engineer (Intelligence) - BengaluruCLANX · Bengaluru, Karnātaka, India

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The clock on this job

Early applications get read.

7.9% of postings close within 7 days. Measured by our own scanner across the market. CLANX postings stay open a median of 1 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.6%3 days
  3. 7.9%7 days
  4. 14.9%14 days
  5. 34.2%30 days
This job: posted 5 hours ago

CLANX median: 1 days open

The posting

Build Oolka's core ML intelligence by leading model selection, evaluation frameworks, and the foundational retrieval/memory layer for AI systems. This is a research-driven ML Engineering role focused on first-principles problem solving.

Company Details

Oolka is an AI-powered consumer fintech company focused on helping users improve and manage their credit health using AI.

Website: https://oolka.in/

Requirements

  • 3–5 years of experience in Machine Learning or Applied AI
  • Strong ML foundations with hands-on experience in XGBoost, NLP, recommendation systems, personalization, and large-scale retrieval
  • Deep understanding of LLM architecture, training, and inference
  • Mandatory experience in LLM post-training (fine-tuning and/or reinforcement learning approaches)
  • Experience designing model evaluation frameworks and benchmarking methodologies
  • Strong knowledge of retrieval systems, embeddings, ranking, and memory architectures
  • Ability to define ambiguous ML problems from first principles and independently drive solutions
  • Strong experimentation mindset with data-driven decision making
  • Excellent communication and technical reasoning skills

Responsibilities

  • Own the model selection strategy for production AI systems
  • Design and build evaluation frameworks for LLM quality and performance
  • Architect and build Oolka's retrieval and memory layer from scratch
  • Develop scalable retrieval pipelines and ranking systems
  • Improve model quality through post-training techniques including fine-tuning and reinforcement learning
  • Drive research-backed experimentation for continuous model improvement
  • Work closely with product and engineering teams to translate ambiguous problems into robust ML solutions
  • Establish best practices for ML experimentation, evaluation, and deployment

Job Details

Location: Bengaluru

Interview Process

  • Recruiter Screening
  • Hiring Manager Discussion
  • Machine Learning Deep Dive
  • System Design & Problem Solving
  • Founder Round

Important Note

ClanX is a recruitment partner, helping Oolka hire ML Engineering.

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