Senior Machine Learning Engineer (AI/NLP)

Your tasks Design, implement and optimise advanced AI, NLP, and ML models. Pandas, SpaCy, NLTK, Hugging Face); Experience with deep learning frameworks for complex model architecture such as TensorFlow or PyTorch; Experience with pre-trained models and LLMs like GPT, and other Transformer-based architectures; Experience with tools like Matplotlib and Seaborn for creating data visualizations; Experience with AI-powered code assistants (e.g., Amazon Q, Github Copilot), staying updated with advancements in AI-driven code technologies; Good knowledge of SQL tooling (Oracle, PostgreSQL); Knowledge of NoSQL databases (Elasticsearch, MongoDB); Knowledge of architectural design of scalable ML solutions such as model servers, GPU resource optimisation; Experience with A/B testing and experimental design of ML models; Strong understanding of linguistics and text processing techniques; Proficient in continuous code delivery and unit testing; Knowledge in one of the following areas: predictive (forecasting, recommendation), prescriptive (simulation), topic detection, plagiarism detection, trends/anomalies detection in...