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Cherre Data Scientist - Research Associate United States, New York, New York 627579072
22.09.2024
Core Responsibilities Collaborate with engineering, data science, and product teams to design, develop, and deploy data science projects focused on LLM and NLP applications. Conduct research and experiments with LLMs to enhance our data processing and analytical capabilities. Assist in the development and deployment of machine learning models, leveraging both supervised and unsupervised learning techniques. Perform advanced statistical analyses to derive insights and build predictive models that support business objectives. Continuously explore new techniques and tools in the LLM and NLP space to keep Cherre at the forefront of AI innovation. Work with cross-functional teams to integrate LLM solutions into our existing platforms and services. Utilize your strong foundation in statistics and machine learning to ensure robust and reliable model development. Professional Expectations Eager to learn and adapt in a fast-paced environment, demonstrating flexibility and a proactive approach to problem-solving. Strong communication skills to convey complex technical concepts to non-technical stakeholders. Ability to work independently and as part of a team, managing multiple projects and deadlines effectively. Demonstrated passion for AI and data science, with a keen interest in the latest developments in LLMs and NLP. Must Have A Bachelor’s or Master’s degree in Data Science, Computer Science, Artificial Intelligence, or a related field. 1-3 years of experience in data science, with a focus on machine learning, NLP, or related areas. Proficiency in Python and experience with libraries and frameworks relevant to NLP and LLMs. Strong SQL skills and experience with Google Cloud Platform (GCP), and DBT. Experience with building RAG, Graph RAG, Fine Tuning and deploying solutions using LangChain, LlamaIndex or similar technologies. Solid foundation in statistical methods, including hypothesis testing, regression analysis, and time series analysis. Experience in applying machine learning algorithms such as decision trees, clustering, neural networks, and natural language processing techniques. Preferred Qualifications Previous experience in developing and deploying LLM-based solutions. Exposure to real estate data or a related field. Strong analytical and problem-solving skills, with a creative approach to leveraging AI for business solutions. Benefits Equity Range of Healthcare Plans Paid Parental Leave Unlimited Vacation Flexible Work Schedule $80,000-150,000 base salary
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