As a AI/Principal Data Scientist specializing in LLMs, ML, and SQL, you will be responsible for deeply understanding business problem statements, determining the required data, and building analytical solutions. You will use Large Language Models to generate features from textual data and ensure the correct machine learning models are applied for optimal results. In addition to leveraging SQL and basic coding for data manipulation, you will also run models independently to provide actionable insights that address key business challenges.
Key Responsibilities:
- Collaborate with stakeholders to understand business problems and translate them into data-driven problem statements.
- Leverage Large Language Models (LLMs) to generate features from unstructured data (e.g., text) to enhance machine learning models.
- Write and optimize SQL queries to manipulate, clean, and analyze structured data from various databases.
- Use basic coding skills (e.g., Python) to handle data preprocessing, transformation, and running ML models independently.
- Develop, train, and evaluate machine learning models, ensuring the correct model is selected for each problem.
- Perform model validation, fine-tuning, and feature engineering to optimize performance
- Communicate complex analytical findings in clear, concise ways to both technical and non-technical stakeholders.
- Stay updated with the latest developments in LLMs, ML, and AI technologies to incorporate new techniques into solutions.
Qualifications:
- Ph.D/ Master's degree in Computer Science, Artificial Intelligence, or a related field preferred.
- 5+ years of proven experience in data analysis, SQL query writing, and feature engineering for both structured and unstructured data.
- Strong proficiency in using machine learning algorithms, including model selection, training, and evaluation.
- Strong coding skills in Python for data preprocessing, cleaning, and running machine learning models.
- Excellent communication skills for presenting insights and findings to both technical and non-technical audiences.
- Demonstrated ability to thrive in a fast-paced startup environment and with a proven track record of leading AI initiatives from concept to execution.
- Ability to develop and implement a strategic vision for AI within the company, aligning with business objectives.
- Excellent communication and interpersonal skills, capable of articulating complex AI concepts to non-technical stakeholders.
