You are a strategic thinker passionate about driving solutions in Data Science and LLM developer. You have found the right team.
As a Data Science and LLM developer –Associate in our Transformation and Analytics , you will spend each day defining, refining and delivering set goals for our firm.
Job Responsibilities:
Implement various exploratory data analysis techniques . Analyze for Trends and Patterns .
Identify key data sources that can make business impacts.
Scope, prioritize and co-ordinate activities with the product owners. Partner with product teams to identify strategic solutions.
Design and develop datamining queries from large data sets (Both Structured and Unstructured) . Experienced in conversion of data into information.
Proficient in Visualization and storytelling which can make an impact to the business .
Employs scalable automation solutions for faster and robust data preparation
Transform model outputs into formats that is understandable to the end users through visualization, clear tables, and/or thoughtful presentations. Assist technical and non-technical end users in how to leverage and interpret the analysis.
Required qualifications, capabilities and skills
Self-starter, attention to details and results orientated, able to work under minimal guidance.
Uses pertinent data and facts to identify and solve a range of problems within area of expertise.
Having mandatory experience in Statistics along with Exploratory and regression data analysis
Strong proficiency in LLM, concept of vectorization/ vector stores, database optimization, performance tuning, agentic AI LLM, RAG based agents. Proficient in building evaluation metrics..
Experience with LLM and other related frameworks like Langchain, LLamaIndex, AutoGen, ReAct , GPT and Claude models,
Experience in model development using Machine Learning techniques [Data Analysis /Model Tuning].
Preferred data querying skills on SQL (Snowflake, Databricks) and , Python (packages and libraries like Scikit , Kera’s, Pandas, PySpark/PySQL)
Bachelor’s Degree in, Data science, Computer Science, or Engineering. Different field of study, with significant professional experience in Analytics and BI development, is acceptable.
Experience Required: 4+ years in Data related projects and 2+ years in Data Science/AI
Good communication and analytical skills
Preferred qualifications, capabilities and skills
Exposure for complex ETL development is an added advantage.
Knowledge on CI/CD pipelines.