Data Science - Machine Learning - Associate

You are a strategic thinker passionate about driving solutions in Data Science and Generative AI You have found the right team.

As a ML Engineer in our MIS and Platforms team, 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 story telling 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
 Bachelors 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: 8+ years in Data related projects and 3+ years in data science
 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, embedding, vectorization, vector stores, database optimization, performance tuning, and relevant query languages.
 Familiarity with embedding, retrieval algorithms, RAG based agents, data modelling for vector development graphs.
 Experience with LLM and other related frameworks like Langchain, LLamaIndex.Experience in model development using Machine Learning techniques [Data Analysis /Model Tuning}.
 Good communication and analytical skills

Preferred qualifications, capabilities and skills
 SSIS/Alteryx exposure for complex ETL development is an added advantage.
 Preferred data querying skills on SQL (Snowflake, Databricks) and , Python (packages and libraries like Scikit , Keras, Gradio, Pandas, PySpark/PySQL).,