Senior Data Scientist

We are seeking an experienced Mid/Mid+ Data Scientist with expertise in Large Language Models (LLMs) such as GPT, Claude, and related technologies to join our team in Ukraine. The ideal candidate will have a strong background in natural language processing (NLP), machine learning, and deep learning models. They will play a critical role in developing and deploying cutting-edge LLM applications to drive innovation across our product lines.Responsibilities:‌Design, develop and optimize Large Language Models for various NLP tasks such as text generation, summarization, translation, and question-answeringConduct research and experiments to push the boundaries of LLM capabilities and performanceCollaborate with cross-functional teams (engineering, product, research) to integrate LLMs into product offeringsDevelop tools, pipelines and infrastructure to streamline LLM training, deployment and monitoringAnalyze and interpret model outputs, investigate errors/anomalies, and implement strategies to improve accuracyStay current with the latest advancements in LLMs, NLP and machine learning researchCommunicate complex technical concepts to both technical and non-technical stakeholdersRequirements:MS or PhD degree in Computer Science, Data Science, AI, or a related quantitative field4+ years of hands-on experience developing and working with deep learning models, especially in NLP/LLMsExpert knowledge of Python, PyTorch, TensorFlow, and common deep learning librariesStrong understanding of language models, attention mechanisms, transformers, sequence-to-sequence modelingExperience training and fine-tuning large language modelsProficiency in model deployment, optimization, scaling and servingExcellent problem-solving, analytical and quantitative abilitiesStrong communication skills to present technical information clearlyAbility to work collaboratively in a team environmentFluency in Ukrainian and EnglishPreferred:Research experience in LLMs, NLP, machine learningExperience working with multi-modal data (text, image, audio)Knowledge of cloud platforms like AWS, GCP for model trainingUnderstanding of MLOps and production ML workflowsBackground in information retrieval, knowledge graphs, reasoning