Marktine Technology Solutions
Data Scientist/Snowflake Cortex Specialist - Large Language Models
Job Location
in, India
Job Description
Job Title : Contract Mid-Senior Data Scientist Snowflake Cortex Specialist (3 Months) Location : Remote Job Overview : We are seeking a highly skilled Mid-Senior Data Scientist with deep expertise in Snowflake's native data science functionalities for a 3-month remote contract. This role will be crucial in the initial phase of developing and implementing an enterprise-wide Large Language Model (LLM) powered chat interface, leveraging customers' structured data products within Snowflake. The ideal candidate will possess a strong hands-on background in data science, a comprehensive understanding of Snowflake's ecosystem, and a passion for leveraging cutting-edge AI technologies. This is a remote contract position. Responsibilities : - Lead the solution design of an enterprise-grade LLM-based chat interface leveraging Snowflake's native data science features to interact with customers' structured data products. - Define, implement, and manage the Semantic Model Specs within Snowflake to ensure accurate and contextually rich responses from the LLM. - Expertly configure and optimize Snowflake Cortex Analyst to extract relevant information and insights from customers' structured data products for the LLM. - Design and implement the integration strategy for the LLM-powered chat interface, which will involve either developing a user interface directly within Snowflake using Streamlit to interact with the configured Snowflake Cortex solution or establishing a robust API integration between the Snowflake Cortex solution and an existing enterprise chat bot service. - Collaborate with relevant teams to understand data structures and access requirements for customer data products within Snowflake. - Evaluate and recommend appropriate LLM models and prompt engineering techniques within the Snowflake environment for interacting with structured data. - Implement initial testing and validation procedures for the chat interface, considering integration with Streamlit or existing enterprise bot services via API. - Document all aspects of the development process, including solution design, data flows, and configurations relevant to the contract deliverables. - Provide knowledge transfer and documentation to the internal team for ongoing development and integration efforts. - Must have a strong understanding of Snowflake Role-Based Access Control (RBAC) and best practices for governing access controls within Snowflake. Qualifications : - Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related quantitative field. - 5 years of hands-on experience as a Data Scientist, with a significant focus on working within the Snowflake environment. - Deep and demonstrable expertise in leveraging Snowflake's native data science features, including but not limited to: - Snowpark (Python, Scala, Java) for data interaction and potential model deployment. - Snowflake ML functions and libraries. - Data governance and security features within Snowflake. - Proven ability to configure and effectively utilize Snowflake Cortex Analyst for information retrieval and analysis from structured data. - Strong understanding and practical experience in defining and managing Semantic Model Specs within Snowflake. - Solid understanding of Large Language Models (LLMs), their capabilities, and limitations in the context of structured data. - Experience with prompt engineering techniques for LLMs. - Proficiency in SQL and data manipulation within Snowflake. - Strong analytical and problem-solving skills with the ability to translate requirements into technical solutions for a chat interface. - Excellent communication and collaboration skills in a remote working environment. - Must have a strong understanding of Snowflake Role-Based Access Control (RBAC) and best practices for governing access controls within Snowflake. - Ideal candidate will have a SnowPro Core Advanced Data Scientist certification. (ref:hirist.tech)
Location: in, IN
Posted Date: 5/1/2025
Location: in, IN
Posted Date: 5/1/2025
Contact Information
Contact | Human Resources Marktine Technology Solutions |
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