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Posted Jul 8, 2025Machine Learning Architect
at Caylent
CanadaOn-site
Responsibilities
- Delegate tickets to a team of engineers in order to complete customer projects. Lead
- Troubleshoot and resolve issues in customer dev, test, and production environments.
- Automate software testing at multiple levels (component, configuration item, subsystem, system) and monitor results.
- Write production quality code, including unit and integration tests.
Requirements
- Caylent is a cloud native services company that helps organizations bring the best out of their people and technology using Amazon Web Services (AWS).
- We provide a full-range of AWS services including workload migrations and modernization, cloud native application development, DevOps, data engineering, security and compliance, and everything in between.
- We are seeking an exceptional Machine Learning Architect to join our growing Cloud Native Applications team.
- The right candidate is someone who has deep expertise in ML system design and is passionate about working with our customers, partners, and colleagues to drive innovation forward.
- Your mission will be to work alongside Caylent’s Engineers, Engineering Managers, and Project Managers to deliver AWS solutions across our diverse and forward-thinking customer base.
- Apply your understanding of DevOps pipelines, including build automation, branching strategies, CI/CD, Infrastructure as Code, security, monitoring, logging, and alerting.
- Work with a team to deliver top-quality cloud native applications on AWS for customers.
- Experience with IaC tools (CloudFormation, CDK, Terraform). Expert level
- experience in Amazon SageMaker and ML libraries (TensorFlow, MXNet, PyTorch, Scikit-learn).
- Strong understanding of ML concepts: feature engineering, hyperparameter tuning, optimization strategies.
- Familiarity with MLOps tools (MLflow, Neptune, Comet). Benefits 100% remote work
- State of the art laptop and tools
- As part of our recruitment process, we may use artificial intelligence (AI) tools or automated systems to assist with the screening and evaluation of applications to help match candidate
- If an AI or automated tool is used during your application process, it will only be in accordance with applicable laws and regulations, and your information will be handled in a secure and confidential manner.