You’ll be joining a team with deep expertise in Information Retrieval, Machine Learning, Language Modeling, Generative AI, Data Mining, and Distributed Computing technologies such as Hadoop, Scala, and Spark.You will use data driven analysis to generate ideas, evaluate and prioritize features, and conduct A/B tests to ensure we objectively measure improvements. You will ensure successful delivery of features, code, data, and models into production. Collaboration will be key, you will work with researchers, engineers, and operations teams to ensure that features and models are functioning at or above expectations globally, in languages from Arabic to Vietnamese and everything in between! KEY RESPONSIBILITIES:Lead and mentor ML researchers and engineers.Stay ahead of advancements in LLMs, transformer architectures, and multimodal models.Evaluate and adopt cutting-edge models, toolkits, and frameworks.Oversee end-to-end development of NLP and GenAI models: from data collection and preprocessing to training, evaluation, and deployment.Guide implementation of applications such as summarization, question answering, chatbots, information retrieval, semantic search, and text generation.Ensure responsible AI practices including model fairness, bias mitigation, and explainability.Drive experimentation with foundation models, retrieval-augmented generation (RAG), fine-tuning, prompt engineering, and agentic workflows.