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Senior Cloud AI Engineer - Teradata
AI Engineer
Lead the design and deployment of scalable AI solutions on cloud platforms, leveraging Python, AWS, and container orchestration to deliver high‑performance, production‑ready models.
About the role
Key Responsibilities
- Architect and implement end‑to‑end AI pipelines on AWS, ensuring scalability, reliability, and security.
- Develop and maintain containerized services using Docker and Kubernetes, integrating with CI/CD workflows.
- Collaborate with data scientists to translate ML models into production‑ready microservices.
- Automate infrastructure provisioning with Terraform and monitor deployments with Prometheus/Grafana.
- Optimize model inference performance and cost across multi‑region cloud environments.
Requirements
- 5+ years of experience in cloud AI engineering, with deep knowledge of AWS services (SageMaker, ECS, EKS).
- Proficiency in Python, Docker, Kubernetes, and Terraform.
- Strong background in machine learning model deployment, performance tuning, and observability.
- Experience with CI/CD pipelines (GitHub Actions, Jenkins, ArgoCD) and automated testing.
- Excellent problem‑solving skills and ability to work cross‑functionally in a fast‑paced environment.
Skills
pythonawsmachine learningkubernetesterraformdockercicd