Generative AI Engineer

- Fine-tune LLMs using techniques like LoRA and QLoRA

- Evaluate and improve RAG (Retrieval-Augmented Generation) pipelines for groundedness, accuracy, and relevance

- Apply transfer learning and transformer architectures in model development

- Validate model accuracy and performance using appropriate metrics

- Collaborate with product teams and communicate insights to senior leadership

- Participate in problem-solving sessions and contribute innovative ideas

- Maintain an experimental mindset and continuously explore new approaches

- Identify and integrate relevant data sources to build meaningful datasets

- Automate data collection and preprocessing for structured and unstructured data

- Handle large-scale data to feed analytical and predictive models

- Build and optimize machine learning and deep learning models, including NLP solutions