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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