remote
AI Systems Engineer - Platform Engineering Masters
Systems Engineer
AI Systems Engineer responsible for building and scaling the data and infrastructure backbone that powers CRM pipelines, integrations, and content production, leveraging Python, AWS, ML, and Kubernetes to deliver robust, scalable solutions.
About the role
Key Responsibilities
- Design, develop, and maintain scalable data pipelines and infrastructure that support CRM workflows and content production engines.
- Implement and optimize machine learning models and data processing workflows using Python and AWS services.
- Collaborate with platform engineering teams to integrate new data sources, APIs, and third‑party services.
- Ensure high availability, performance, and security of data infrastructure through monitoring, alerting, and automated remediation.
- Drive continuous improvement of CI/CD pipelines and deployment processes for data and ML workloads.
Requirements
- Proven experience building production‑grade data pipelines in Python and AWS (S3, Glue, Redshift, Lambda).
- Strong background in machine learning model deployment and monitoring.
- Hands‑on experience with Kubernetes and container orchestration for data services.
- Solid understanding of data governance, security best practices, and compliance requirements.
- Excellent communication skills and ability to work independently in a fully remote environment.
Skills
pythonawsmachine learningkubernetes