Senior Data Engineer, MLOps

A company is looking for a Senior Data Engineer specializing in MLOps.

Key Responsibilities

Operationalize key data science solutions for risk prediction products

Design and build ML pipelines using AWS services and integrate with tools like MLflow

Monitor production models for performance, drift, and data quality

Required Qualifications

Bachelor's degree or equivalent relevant experience

8 years of industry experience, with 2 years in MLOps and 2 years in software engineering

Comprehensive experience in Python and Docker

Advanced proficiency in Infrastructure as Code (IaC) tools like Terraform

Demonstrated expertise in designing and managing scalable MLOps solutions on AWS