Project Manager - GenAi​/AI​/ML

Required

• 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-premises), 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

• Advanced degree in a quantitative field (e.g. Computer Science, Statistics, Applied Math, Econometrics, Operations Research, Quantitative Social Science)

Responsibilities
:

• Drive the development and application of new technologies focused on Big Data Artificial Intelligence

• Identify and initiate opportunities across the Enterprise, building collaboration, and influencing strategic direction by raising visibility of trends and issues across the competitive landscape

• Lead cross-functional initiatives, develop action plans, establish milestones, and provide status updates

• Drive cross functional Big Data AI initiatives, including the development of the roadmaps, key metrics, and success criteria

• Manage and communicate key timelines and deliverables to execute on strategic initiatives

• Stand up Ad-hoc Work Groups (AWGs) and Proofs of Concepts for new Big Data AI initiatives

• Define and own key metrics and key performance indicators

• Identify and leverage expertise, technological investments, and AI techniques

• Research new technology opportunities, investigate industry trends, and deliver compelling, data driven recommendations to guide business decisions and improve business performance

. 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.

Desired

Skills:


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