Natural Language Processing (NLP) Expertise: Extensive experience in NLP techniques, including text processing, sentiment analysis, text classification, entity recognition, and advanced language generation models.
Generative AI and Open-Source LLMs: Proficiency in leveraging open-source large language models (LLMs), including experience with LLMOps, retrieval-augmented generation (RAG), and deployment of generative AI models in production settings.
Neural Networks and Advanced Architectures: Expertise in a range of neural network architectures, including CNN, RNN, LSTM, and Transformer-based models. Skilled in designing, fine-tuning, and optimising models for various applications, from image recognition to NLP.
Optimisation Models & Recommendation Engines: Skilled in building optimisation models and recommendation systems tailored to enhance user experience and drive targeted outcomes. Experience in Reinforcement Learning is a strong plus.
Graph-Based Models: Proficient in designing and implementing graph neural networks (GNN), graph attention networks (GAT), and other graph-based models to leverage relational data and complex networks.
Vector Databases Experience: Hands-on experience with vector databases to support similarity search, efficient data retrieval for embedding-based applications
BENEFITS
Great progression opportunities - we want you to grow with us.
Look after yourself with health insurance including Hospital/Surgical.
Learn new skills with sponsored training on MOOCs such as Coursera, Udemy.