onsite
Cloud ML Platform Engineer - RBC
Devops Engineer
Lead the design and delivery of a next‑generation AI/ML platform on AWS, driving cross‑functional collaboration, automation, and scalable model deployment for enterprise clients.
About the role
Key Responsibilities
- Architect and build a cloud‑native ML platform on AWS, integrating data pipelines, model training, and inference services.
- Collaborate with data scientists, product managers, and cloud teams to translate business requirements into scalable, reproducible solutions.
- Implement CI/CD pipelines for model versioning, testing, and automated deployment using Kubernetes and GitOps practices.
- Ensure platform reliability, security, and compliance with enterprise standards, monitoring performance and troubleshooting incidents.
- Mentor and guide cross‑functional teams, fostering best practices in ML engineering and cloud operations.
Requirements
- 5+ years of experience in ML engineering or data platform development.
- Proficiency in Python, AWS services (SageMaker, ECS/EKS, Lambda), and Kubernetes.
- Strong background in CI/CD, Git, and automated testing for ML workflows.
- Excellent communication skills and ability to work in a fast‑paced, collaborative environment.
- Experience with model monitoring, governance, and security best practices is a plus.
Skills
pythonmachine learningawskubernetescicd