Principle GenAI Data Scientist/ SME
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MUST HAVE SKILLS (Most Important):
Advanced degree in a quantitative field (e.g. Computer Science, Statistics, Applied Math, Econometrics, Operations Research, Quantitative Social Science)
Proficient in manipulating and analyzing data from different sources (cloud and on-premise), at different scales (big data and small data), and of different formats
Must have excellent coding proficiency with demonstrated expertise in python, java, R, etc.
Knowledgeable of a variety of AI/ML models, frameworks(keras, pytorch, etc.) and libraries/packages/apis (e.g., scikit)
Must have the ability to explain both the code and the underlying math used in algorithms/models.
Experience with model deployment in production environments a big plus
Familiarity with hypothesis testing, sampling, and causal inference methods
Excellent communication & cross-functional collaboration skills
. Must have hands on experience working on GenAI models. Ability to write code and identify techniques to use in the RAG architecture to solve for problem at hands
JOB DUTIES:
. Design/Develop custom RAG pipeline for GenAI solutions
. Participate in daily touch point calls, design calls and interface with other technical leads and business stakeholders to understand requirements and plan a solution around it.
. Provide timely updates to management on progress and any challenges.
. Research and develop new solutions for unique problems in AI/ML and GenAI space.
EDUCATION/CERTIFICATIONS:
Advanced degree in a quantitative field (e.g. Computer Science, Statistics, Applied Math, Econometrics, Operations Research, Quantitative Social Science)
LOGISTICS:
Shift: standard 9-5, Monday to Friday