AWS Lead Developer

Job Title: AWS Lead Developer
Job ID: 83048
Location: Toronto, Ontario


What you will be doing:

• 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

What you must have:

• 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 (GCP, Azure, etc.)

• Excellent verbal and written communication skills.

Thank you for your interest in this opportunity. If you are selected to move forward in the process, we will contact you directly. If you do not hear from us, we encourage you to continue visiting our website for other roles that may be a good fit.


For more information about TEEMA and to consider other career opportunities, please visit our website at www.teemagroup.com