Senior Data Engineer, MLOps [Remote-US]

Responsibilities:

• Help drive the organization toward model development and delivery best practices.
• Shape and implement automation across the machine learning lifecycle from data collection to model monitoring.
• Partner with data engineers and data scientists to develop a robust platform.

Qualifications:

• 8 years of industry experience with 2 years focused in MLOps and 2 years in software engineering or equivalent experience.
• Comprehensive experience in Python and Docker.
• Demonstrated expertise in designing, deploying, and managing scalable and resilient MLOps solutions on AWS.

Benefits:

• Health, wellness and other benefits, including medical, dental, vision, life insurance
• 401(k) Plan with a company match.
• All employees accrue four weeks of PTO in their first year of employment.