Cloud Analytics Architect Resume Houston - Hire IT People

SKILL DETAILS:

As Is Scenario Assessment

Requirements Gathering

Data Science Model Life Cycle

Cloud based Solution Architecture

Docker Containers, Kubernetes & ML Pipelienes

Model Deployment & Monitoring in Cloud (MLOps)(Azure ML Service/ AWS Sage Maker/ Google AI Platform, IBM)

Actual Project Experience in at least one Cloud based ML environment

Azure Cloud Offerings

Azure ML Service & Python SDK

Python 3.x Programming

RESTful APIs for wrapping ML Models / System Integration

CI/CD Integration

PROFESSIONAL EXPERIENCE:

Cloud Analytics Architect

Confidential, Houston

Responsibilities:

Machine Learning (ML) Model Deployment, Support & Monitoring:
Assess and document current Data Science Platform Landscape during discovery phase
Gather and assess the data science model deployment and refresh requirements for two applications deployed in production - e.g., data sources, models & algorithms, modeling codes/ data pipeline, performance metrics, interfaces, library, version dependencies etc.
Define Model Deployment and Monitoring Solution Architecture
Develop industrialized Model Deployment & Monitoring Plan forAI ML Models