remote
AI Platform Engineer - Budgetly
Devops Engineer
Lead the design and deployment of an AI‑first platform, building scalable, cloud‑native services on AWS. Drive end‑to‑end ML pipelines, container orchestration, and automated CI/CD to accelerate delivery and empower engineering teams.
About the role
Key Responsibilities
- Architect and implement scalable AI services on AWS using Python, Docker, and Kubernetes.
- Design and maintain end‑to‑end ML pipelines, from data ingestion to model serving.
- Build and manage CI/CD workflows with Terraform, GitHub Actions, and automated testing.
- Collaborate with data scientists and product teams to translate business requirements into robust, production‑ready solutions.
- Monitor, troubleshoot, and optimize platform performance and cost efficiency.
Requirements
- 3+ years of experience building cloud‑native AI/ML services.
- Proficiency in Python, AWS services (SageMaker, Lambda, ECS/EKS), Docker, and Kubernetes.
- Hands‑on experience with CI/CD, Terraform, and automated testing frameworks.
- Strong problem‑solving skills and a passion for continuous improvement.
Skills
pythonawsmachine learningdockerkubernetescicdterraform