remote
AI Platform Engineer - FULLTHROTTLE
Devops Engineer
AI Platform Engineer building scalable, privacy‑compliant AI services on AWS, leveraging Python, Docker, Kubernetes, and CI/CD pipelines to deliver high‑performance data solutions for a fast‑growing, fully remote startup.
About the role
Key Responsibilities
- Design, develop, and maintain AI/ML pipelines and services on AWS, ensuring scalability, reliability, and compliance with privacy standards.
- Containerize applications using Docker, orchestrate with Kubernetes, and implement automated CI/CD workflows for rapid, repeatable deployments.
- Collaborate with data scientists and product teams to translate research prototypes into production‑ready models, optimizing for performance and cost.
- Monitor, troubleshoot, and optimize system performance, implementing observability and alerting across the stack.
- Contribute to architecture discussions, propose best practices, and mentor junior engineers on cloud, ML, and DevOps topics.
Requirements
- 3+ years of experience building AI/ML platforms in a cloud environment, preferably AWS.
- Proficiency in Python, Docker, Kubernetes, and CI/CD tooling (GitHub Actions, Jenkins, or similar).
- Strong understanding of data engineering concepts, including data pipelines, ETL, and data lake architectures.
- Experience with model deployment, monitoring, and A/B testing frameworks.
- Excellent problem‑solving skills, ability to work independently in a fully remote, Agile team.
Skills
pythonmachine learningawsdockerkubernetescicd