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Location: London, OR Remote: Yes and hybrid also ideal. Also willing to commute within London Willing to relocate: For the right offer Technologies: Machine Learning, Deep Learning, NLP (LLMs, Prompt Engineering, HuggingFace, Langchain, Pydantic), MLOps (Docker, W&B, MLFlow, Postgres, Neo4j, Grafana, Prometheus, FastAPI, Streamlit, AWS), Python (Pandas, NumPy, Seaborn, sklearn) Résumé/CV: https://www.linkedin.com/in/azuremis/ Email: azuremismachine [at] gmail.com About me: I'm a machine learning engineer who's also pursuing an AI apprenticeship (equivalent to masters in AI). I am a proficient systematic thinker who enjoys applying logical reasoning to find elegant and performant solutions to complex problems. I'm focused on natural language processing (NLP) primarily. I have industry experience with recommendation systems, reinforcement learning, chatbot development, information extraction, knowledge graphs and generative AI, specifically large language models from my most recent role in a high growth startup. I have a strong background in data science and machine learning. I am motivated by the challenge and opportunity of using AI strategicialy to solve real-world problems and enjoy learning from experienced engineers. My goal is to become a leader in the field of artificial intelligence so I can amplify my positive impact on society. On a more general front, I'm intrigued by robotics, the mind and consciousness and fascinated by neuroscience and philosophy. In my free time, I enjoy cooking, meditating, travelling and reading. My favourite book is The Untethered Soul by Michael Alan Singer. Let's speak :) |