Data Science and Gen AI Developer-Associate

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 sourcesthat can make business impacts.

• Scope, prioritize and co-ordinate activities with the product owners. Partner with product teams to identify strategicsolutions.

• 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.

• 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.