aveni - Senior AI Engineer

• Build and optimise LLM-powered systems • Architect, fine-tune and optimise machine learning models including LLMs and classical ML approaches • Experiment with modern architectures such as Transformers and Mixture-of-Experts • Apply efficient training and fine-tuning techniques including LoRA and parameter-efficient methods • Develop robust evaluation approaches to measure model quality and reliability • Develop scalable AI systems • Build and deploy production-grade NLP pipelines and services • Ensure models operate efficiently with low latency and high availability • Integrate models into scalable cloud infrastructure and real-world applications • Data strategy and model training • Lead the acquisition, processing and governance of large structured and unstructured datasets • Apply exploratory data analysis and validation techniques to improve training pipelines • Ensure data privacy and governance standards suitable for financial services • Engineering best practices • Contribute to DevOps and MLOps pipelines • Implement robust version control, testing and CI/CD workflows • Support reliable deployment and monitoring of models in production environments • Technical leadership • Mentor engineers and contribute to the technical growth of the team • Work closely with product, engineering and data teams to deliver AI solutions • Stay at the forefront of AI and NLP research, applying new approaches where they add value