Sr Data Scientist( RAG Patterns ) Kiash Solutions

About Kiash Solutions

Job Description

Company Description We suggest you enter details here. Role Description This is a full-time Machine Learning Engineer role located in Hyderabad. The Machine Learning Engineer will be responsible for tasks such as pattern recognition, working with neural networks, applying statistics, and developing algorithms. B.S/BTech in a Science, Technology, Engineering, Mathematics (STEM) or Economics related field of study. 3 or more years with relational or NoSQL databases (Oracle, Teradata, SQL Server, Hadoop, ELK, etc.) 3 or more years working with languages such as R, Python or Java 3 or more years working Gen AI ( LLMs, RAG patterns, Foundational models) 3 or more years working with advanced statistical methods such as regressions, classifiers, recommenders, anomaly detection, optimization algorithms, tree methods, neural nets, etc. Experience presenting and delivering results to business partners Preferred 2 or more years skilled at data visualization (PowerPoint, Tableau, D3, ggplot, matlib, seaborn, etc.) 2 or more years applying agile SDLC. Project Details: TIARA ChatBot for Personal Trading Mailbox Extend the Tiara Chatbot Personal Trading Mailbox Response Tool globally for 8 policies to significantly reduce the time and resources spent on managing personal trading inquiries. Complete following deliverables to integrate 8 main policies & 2 supplemental policies into the TIARA Platform, integrating TIARA with CEMS and GAIT, manually uploading all policies, developing prompt engineering, mailbox integration, response generation, and escalation routing: Solution Design: Complete technical assessment and create Technical Solution Architecture Design on modernized ecosystem and obtain all required reviews/approvals Complete development tasks and unit testing to successfully load and integrate 8 personal trading policies into the Tiara Chatbot to ensure comprehensive coverage of compliance queries Complete development tasks and unit testing to connect the Tiara Chatbot to the gAIt platform and CEMS database, enabling seamless data retrieval and processing Complete development tasks and unit testing to manually upload all policies to GAIT Complete development tasks and unit testing to develop and refine standard Q&A prompts to ensure accurate and relevant responses to common compliance-related queries for the 8 policies,