Data Science & MLOps Engineer

Supports the end-to-end operationalization of machine learning solutions, including model deployment, versioning, monitoring, and lifecycle management in production environments. responsible for building and maintaining automated ML pipelines, CI/CD workflows, and cloud-based infrastructure for Fraud and Risk Domain.

Description: Job Title: Data Science & MLOps Engineer
Work Location: Redmond, WA - 98052

Job Details:

Must Have Skills: Python, Pyspark, Data Science (Machine learning, Deep learning)
Nice to Have Skills: KQL, PowerBI,C#

Detailed Job Description
Supports the end-to-end operationalization of machine learning solutions, including model deployment, versioning, monitoring, and lifecycle management in production environments. responsible for building and maintaining automated ML pipelines, CI/CD workflows, and cloud-based infrastructure for Fraud and Risk Domain


Minimum years of experience
> 10 years

Certifications Needed :No

Top 3 responsibilities you would expect the Subcon to shoulder and execute
Client interfacing
Team leading
Support task