What are the responsibilities and job description for the Data Scientist - Large Language Model (LLM) position at Saviance?
Job Title : Data Scientist - Large Language Model (LLM)
Location : Remote
Duration : Full time
About BigRio :
BigRio is a pioneering technology company at the forefront of professional services and consulting along with natural language processing innovation. We are seeking an accomplished Data Scientist to join our team and play a pivotal role in developing and enhancing large language model (LLM) applications that are reshaping the field of AI especially in the healthcare industry segment.
Job Description :
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.
Key Responsibilities :
- Reinforcement Learning Expertise : Conduct advanced research and have a track record of scientific publications in reinforcement learning, including Q-learning, value-iteration methods, DQN, double DQN, actor-critic, and Proximal Policy Optimization.
- NLP and Transformers Mastery : Demonstrate deep knowledge, publications and hands-on experience with transformers and attention networks in NLP, including proficiency with the Hugging Face Transformers library and models.
- Model Development : Design, develop, and optimize large language models using cutting-edge transformer architectures and attention mechanisms, supported by proven code and projects.
- Data Structures and Algorithms : Possess a comprehensive understanding of data structures and algorithms, applying them effectively to address complex NLP challenges.
- Unix Proficiency : Be proficient in Unix-based systems to facilitate efficient data processing and model development workflows.
- Python Development : Bring at least 3-5 years of extensive Python development experience, with a focus on data science, machine learning, and AI projects.
- Prompt Engineering : Efficient and intensive prompt engineering expertise.
- LLM Infrastructure and engineering : Experience with various options for setting up the LLM infrastructure in the cloud.
Requirements :
To excel in this role, you should meet the following qualifications :
