Job Summary: A professional to develop and validate machine learning models, applying NLP, generative AI, and deep learning to real-world problems, and participating in the architecture design of AI solutions in cloud environments. Key Highlights: 1. Development and validation of machine learning models 2. Application of NLP, generative AI, and deep learning 3. Definition of AI solution architecture in cloud environments * Develop and validate supervised and unsupervised machine learning models. * Apply NLP, generative AI, and deep learning techniques to real-world problems. * Support Virtual Assistant projects by optimizing prompts and evaluating accuracy in RAGs. * Conduct exploratory data analysis and feature engineering to improve models. * Participate in defining AI solution architecture in cloud environments. * Collaborate with data engineers, developers, and business stakeholders. * Monitor and maintain production models to ensure performance and accuracy. * Document processes, technical decisions, and experimental results. Requirements: * Proficiency in Python and SQL. * Experience with data visualization tools. * Technical English for reading articles and documentation. * Experience with LLMs, generative AI, and language models. * Bachelor’s degree in Computer Science, Engineering, Statistics, Mathematics, or related fields. Benefits 20 paid vacation days.