DescriptionYou 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 Sr Associatein 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.
- 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 Keras Pandas PySpark/PySQL)
- Bachelors Degree in Data science Computer Science or Engineering. Different field of study with significant professional experience in AI oriented Analytics and BI development is acceptable.
- Experience Required: 8 years in Data related projects and 3 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.
Required Experience:
IC