Full Stack Developer (Java / Angular / Python / AWS) - Tier1 Banking client
Summary
S.i Systems is hiring for a Tier 1 banking client in Toronto: a senior engineer (posted as Full Stack Developer, described as AWS SageMaker/MLOps Engineer) to build and run enterprise ML platforms — designing SageMaker pipelines, feature stores, model deployment automation, monitoring, and CI/CD. Hybrid role with 2 days/week in the Toronto office; core stack is AWS SageMaker, Python, and cloud-nat
Hybrid (Work Model)
2 days per week in-person at Toronto office preferred
Experience Required
6–8 Years
Role Description
We are looking for a highly experienced Senior AWS SageMaker / MLOps Engineer with 8+ years of overall IT experience and strong expertise in building, deploying, and operationalizing Machine Learning solutions on AWS.
The ideal candidate should have hands-on experience with AWS SageMaker, SageMaker Feature Store, MLOps frameworks, and Python development. The resource will be responsible for designing and implementing end-to-end ML pipelines, feature management strategies, model deployment automation, monitoring, and CI/CD integration for enterprise-scale machine learning platforms.
Top 3 Required Skills
- AWS SageMaker Feature Store and Feature Engineering
- MLOps and Python Development
Top 3 Preferred Skills
- Kubernetes and Docker
Experience Required
- 8+ years of overall IT experience
- Strong hands‑on experience with AWS cloud services
- Experience implementing MLOps pipelines and ML lifecycle management
- Hands‑on experience with SageMaker Pipelines, Model Registry, and Feature Store
- Experience with CI/CD tools and cloud-native development practices
Education Requirements
- Bachelor's degree in Computer Science, Engineering, Information Technology, or related field