Job Purpose:

Drive execution of technical and architectural decisions made by data engineers and ensure deployment of right practices.
Populate data platforms, build execution framework and diagnosis of existing architecture from a data engineering perspective.

Primary Roles and Responsibilities:

Design and end-to-end implementation of Gen AI Projects.
Work with Data Scientists, Data Engineers, ML engineers, SDE to develop data pipelines for model development and productization.
Provide inputs on right tool options and model designs for use cases.
Help data architect and data translators understand technical nuances to constructively drive fast iterations.
Design roadmap for implementing software engineering practices for higher code quality.
Identify gaps and implement solutions for data security, quality and automation of processes.
Oversee maintenance, bug fixing and performance analysis along data pipeline.
Adhere to security and PII best practices in an enterprise environment.
Hire and Setup a fully functional team with capability for delivering Gen AI Projects.

Secondary Roles and Responsibilities:

Describe and ensure best practices within stack technologies (Python, Javascript, Airflow, AWS, SQL, noSQL).
Develop and maintain a working knowledge of trends and standard methodologies within Generative AI.
Ensure secure and working delivery of releases by enforcing test strategies, deployment patterns, and SDLC culture within Agile deployment.

Engineering Manager