BigRio is a pioneering technology company at the forefront of professional services and consulting along with natural language processing innovation.
As a Data Scientist specializing in large language model (LLM) applications, you will lead the charge in advancing our state-of-the-art natural language understanding and generation solutions. You will collaborate closely with our research and engineering teams to design, implement, and optimize language models, with a strong emphasis on transformers and attention networks in NLP. Your expertise will be instrumental in shaping the future of AI-driven language technologies.
To excel in this role, you should meet the following qualifications: * Education: Hold a Master's or Ph.D. in computer science or a related field. * Reinforcement Learning Knowledge and Publications: Present a proven track record of scientific publications in reinforcement learning, showcasing expertise in various RL methods. * NLP and Transformers Knowledge and publications: Demonstrate in-depth understanding and hands-on experience and proven scientific publications with transformers and attention networks for NLP, including familiarity with the Hugging Face Transformers library and models. * Fine tuning language models: Demonstrated ability to fine tune language models in multi-GPU environment. * Data Structures and Algorithms: Possess a strong grasp of data structures and algorithms, with the ability to apply them effectively to solve intricate NLP problems. * Unix Proficiency: Exhibit proficiency in Unix-based systems for efficient data processing and development tasks. * Python Development: Have a minimum of 3-5 years of hands-on experience in Python development, with a particular focus on data science, machine learning, and AI. Moreover, at least 4-8 years of experience with deep learning frameworks (e.g., TensorFlow, PyTorch) and proficiency in other Client algorithms and libraries. * Problem Solving: Showcase exceptional problem-solving skills and a creative approach to tackling complex NLP challenges. * Communication: Possess strong verbal and written communication skills, enabling effective collaboration with cross-functional teams.