ML Engineer (Intelligence) - Bengaluru

Company: CLANX

Location: Bengaluru, Karnātaka, India

Type: Full-time

Posted: 2026-08-03

About this role

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/](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 Des...

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