Machine Learning Engineer
Role summary
We are seeking a Machine Learning Engineer to design, build, and deploy ML models and pipelines on AWS. This role involves developing end-to-end ML workflows using services like SageMaker, Glue, S3, and Lambda, covering data preprocessing, training, inference, and monitoring. You will integrate ML models with applications via APIs and cloud services, optimizing for performance, scalability, and cost on AWS infrastructure. Collaboration with data scientists, data engineers, and DevOps teams in an Agile environment is key.
Job Title : Machine Learning Engineer
Location : Toronto ,ON
Duration : Long term
Job Description:
Design, build, and deploy ML models and pipelines on AWS
Develop end‑to‑end ML workflows using SageMaker, Glue, S3, and Lambda
Build data preprocessing, training, inference, and monitoring pipelines
Integrate ML models with applications using APIs and cloud services
Optimize model performance, scalability, and cost on AWS infrastructure
Collaborate with data scientists, data engineers, and DevOps teams in Agile delivery
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