Architect the Solution, Design the Implementation for Data Engineering, ML and MLOPs, Support KPIs to be built in the UI that will be built, Lead the Developer team.
Scope is Develop an MVP. Python for Data Engineering and ML, Docker containerized implementation. MVP is proposed to be done in 2-3 months Maximum. Scope for larger implementation after that, if MVP is successful
As-Is Design/Code is built locally. Has to be ported to Python OOP
Understand As-Is Technical Design, Code Components, Dev Environment where code is
Deployed
Propose To-Be Architecture on Cloud, Technical Design and Proposed Solution for the Solution for a Cloud agnostic Solution
Design the Solution for Cloud Infra implementation and create the Integrated design including, Data Flows and Cloud implementation
Lead the Development Team to implement the Solution on Cloud - Data Extraction and Ingestion, Data Quality and Data Curation, Feature Engineering and ML, Data Loads, Cloud MLOps and Designs for Dockerization
Review of Developer's Code, Participate in Scrum Calls, Administer the Technical Demos, Inputs to the UI Team on the Data Aggregations and KPIs
Support Regression and Integration Testing and Help Plan the Solution Go Live
Communicate the Progress against the Plan on the Solution Design and Delivery Plan