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.