Machine Learning Engineer

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 Oolkas 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