Senior Data Engineer, MLOps [Remote-US]

We're looking for a Senior Data Engineer with a specialty in MLOps Engineering to help drive the organization toward model development and delivery best practices. You will help shape and implement automation across the machine learning lifecycle from data collection to model training to model monitoring.

Requirements

• Bachelor degree or equivalent relevant experience
• 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
• Familiarity with build tooling such as bash and bazel
• Advanced proficiency in IaC principles and tools like Terraform
• Demonstrated expertise in designing, deploying, and managing scalable and resilient MLOps solutions on AWS
• Applied expertise in the end-to-end machine learning lifecycle, including data ingestion, preprocessing, model training, deployment, and production monitoring
• Excellent written and verbal communication with a strong collaborative focus
• Proficiency in designing and implementing workflows using tools like AWS Step Functions
• Experience with CI/CD tailored for machine learning systems (e.g., automating model training, validation, and deployment)
• Bonus points: Experience in designing and developing large-scale distributed systems, complex APIs, or contributing significantly to platform-level software engineering projects

Benefits

• Medical, dental, vision, life insurance and supplemental income plans for you and your dependents
• Headspace app subscription
• Monthly wellness allowance
• 401(k) Plan with a company match
• Four weeks of PTO in the first year of employment
• Twelve weeks of fully paid parental leave for new parents
• Up to $5000 each year for professional learning, continuing education and career development
• LinkedIn Learning subscriptions and access to multiple different coaching opportunities through BetterUp