AWS Lead Developer

Role: AWS Lead Developer

Location: Toronto, ON(Hybrid Weekly 2-3 Days Office)

Duration: 12+ Months

Responsibilities

• Build MLOps pipelines to support experimentation, continuous integration, deployment (CI/CD), verification, validation, and monitoring of ML models in production
• Collaborate with teams to drive the ML technical roadmap
• Collaborate with Machine Learning Engineers, Cloud Engineering and Product Managers to develop tools to support experimentation, training and production operations
• Build and maintain data pipelines using tools like Hadoop, Python, API Gateway, SageMaker, ECS/EKS, Fargate Lambda, Airflow, CloudWatch, AWS CDK
• Offer support and troubleshooting assistance for the ML pipeline, while continuously improving stability along the way
• Build and maintain systems employing an Infrastructure-as-Code approach
• Own the AWS stack which comprises all ML resources
• Establish standards and practices around MLOps, including governance, compliance, and data security
• Collaborate on managing ML infrastructure costs

Qualifications:

• 2+ years of experience with ML infrastructure and ML DevOps
• 4+ years of overall engineering experience in distributed systems and data infrastructure
• 3+ years' experience coding in Python (preferred)
• Experience working with ML engineers to build tooling and automation to support the entire ML engineering lifecycle, from experimentation to production operations
• Experience with Kubernetes and ML CI/CD workflows
• 3+ years' experience with AWS or other public cloud platforms (Google Cloud Platform, Azure, etc.)
• Excellent verbal and written communication skills.