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
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3–5 years of experience in Machine Learning or Applied AI
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Strong ML foundations with hands-on experience in XGBoost, NLP, recommendation systems, personalization, and large-scale retrieval
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Deep understanding of LLM architecture, training, and inference
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Mandatory experience in LLM post-training (fine-tuning and/or reinforcement learning approaches)
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Experience designing model evaluation frameworks and benchmarking methodologies
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Strong knowledge of retrieval systems, embeddings, ranking, and memory architectures
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Ability to define ambiguous ML problems from first principles and independently drive solutions
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Strong experimentation mindset with data-driven decision making
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Excellent communication and technical reasoning skills
Responsibilities
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Own the model selection strategy for production AI systems
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Design and build evaluation frameworks for LLM quality and performance
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Architect and build Oolka's retrieval and memory layer from scratch
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Develop scalable retrieval pipelines and ranking systems
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Improve model quality through post-training techniques including fine-tuning and reinforcement learning
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Drive research-backed experimentation for continuous model improvement
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Work closely with product and engineering teams to translate ambiguous problems into robust ML solutions
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Establish best practices for ML experimentation, evaluation, and deployment
Job Details
Location: Bengaluru
Interview Process
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Recruiter Screening
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Hiring Manager Discussion
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Machine Learning Deep Dive
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System Design & Problem Solving
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Founder Round
Important Note
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