AI DataOps Engineer
Core
Establish and manage DataOps engineering practices, tools, and automation frameworks to enable the Data team to deliver data products reliably, quickly, and repeatably.
Role type
Senior DataOps Engineer
Builds
Data pipelines, ML model deployment pipelines, and data delivery platforms
Domain
Automotive / Data Engineering & MLOps
Deliverable
production ML models
Required skills
CI/CD pipeline design and automation, Infrastructure as Code (Terraform), Apache Airflow administration and optimization, Docker container management, Automated data quality testing, Operational reliability monitoring
Preferred skills
Mentorship of engineers on DataOps practices, Cross-functional collaboration with Cloud and Observability teams
Technologies
Terraform, Apache Airflow, Cloud Composer, Docker, Python
Responsibilities
Design and maintain CI/CD pipelines for data and ML model processing; Manage and automate development, test, and production environments; Implement automated testing and regression detection mechanisms; Administer and optimize workflow orchestration tools; Monitor pipeline performance and manage incidents; Mentor engineers on DataOps best practices
