Machine Learning Specialist– Model Optimization & AI Insights

We are looking for an experienced Machine Learning Lead (5-6 years of experience) to design and optimize machine learning models that enhance the intelligence of an AIpowered Voice Agent platform. The role focuses on: • Fine-tuning language models • Building insight-driven models • Improving AI accuracy and performance • Supporting decision-making within AI workflows Key Responsibilities • Design and implement fine-tuning pipelines for LLMs and smaller models • Improve model performance for intent detection, classification, summarization, and prediction • Build ML models for customer segmentation, intent prediction, and sentiment analysis • Define and monitor AI performance metrics (accuracy, latency, hallucination rate) • Develop datasets and pipelines for training, validation, and evaluation • Apply parameter-efficient fine-tuning techniques (LoRA, QLoRA) • Collaborate with GenAI team on prompt tuning and model behavior • Optimize models based on production feedback • Support deployment and monitoring of ML models Experience Requirements • 5-6 years in Machine Learning / NLP • Experience in fine-tuning or adapting models • Experience in building production ML pipelines SkillsSkills • Strong understanding of machine learning and NLP fundamentals • Experience with LLM fine-tuning (LLaMA, Mistral or similar) • Hands-on experience with LoRA, QLoRA, or similar techniques • Experience building text classification, summarization, and NLP models • Strong Python skills with PyTorch and Hugging Face • Experience in dataset preparation, cleaning, and labeling • Experience in model evaluation and performance optimization • Ability to reduce hallucinations and improve model accuracy • Experience with experiment tracking and benchmarking • Understanding of production ML pipelines