onsite
AI Platform Engineer - Capgemini
Devops Engineer
Design, build, and maintain scalable AI platforms on AWS, leveraging Python, Kubernetes, Docker, and Terraform to deploy machine learning models and data pipelines efficiently.
About the role
Key Responsibilities
- Architect and develop end‑to‑end AI solutions on AWS, ensuring high availability and scalability.
- Containerize ML models with Docker and orchestrate deployments using Kubernetes.
- Implement IaC with Terraform to provision and manage cloud resources.
- Integrate data pipelines, monitor model performance, and automate retraining workflows.
- Collaborate with data scientists, DevOps, and product teams to translate business needs into technical specifications.
Requirements
- Proven experience building AI/ML platforms in a cloud environment, preferably AWS.
- Strong proficiency in Python and experience with ML frameworks (TensorFlow, PyTorch).
- Hands‑on knowledge of Kubernetes, Docker, and CI/CD pipelines.
- Experience with Terraform or similar IaC tools.
- Excellent problem‑solving skills and ability to work in a fast‑paced, cross‑functional team.
Skills
pythonawsmachine learningkubernetesdockerterraform