Machine Learning Architect
New
Canada, the United States, and Latin AmericaFull-TimeMiddle
Salary152,000 - 171,000 CAD per year
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Job Details
- Required Skills
- AWSAgileMachine LearningMLFlowPyTorchTensorflowCI/CDDevOpsTerraformCloudFormationscikit-learnMLOps
Requirements
- Deep expertise in ML system design
- Experience with IaC tools (CloudFormation, CDK, Terraform)
- Expert level experience in Amazon SageMaker
- Expert level experience with 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)
- Confidently addresses client questions and identifies gaps in requirements with proposed next steps.
- Focus on delivering clear, actionable solutions that meet client goals
- Facilitates alignment across stakeholders or technical priorities and deliverables.
- Navigates differing perspectives with professionalism to ensure shared understanding and progress.
- Breaks down complex technical concepts for non-technical audiences in a clear, concise manner.
- Adapts communication style based on audience and context to improve clarity and decision-making.
Responsibilities
- Guide Cayliens and Customers alike through Agile ceremonies like stand-ups, retrospectives, and more.
- Translate customer requirements and into a workable backlog of tickets for engineers.
- Delegate tickets to a team of engineers in order to complete customer projects.
- Lead requirements gathering, backlog grooming, and architecture discussions.
- Apply your understanding of DevOps pipelines, including build automation, branching strategies, CI/CD, Infrastructure as Code, security, monitoring, logging, and alerting.
- 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.
- Work with a team to deliver top-quality cloud native applications on AWS for customers.
- Clearly communicate and document your designs, processes, and procedures.
- Mentor peers, tackle new technologies, and learn from our word-class team of engineers.
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