Machine Learning Specialist – Model Optimization And AI Insight
Job description
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 AI-powered 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
Skills description
- 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