Senior ML Engineer — Scale Production-Grade ML Systems

MIR Digital Solutions; Toronto; On-site; CAD 120,000 - 180,000; Part time

Benefits offered by this job

Dynamic and fast-growing technology company

Innovative teams delivering cutting-edge solutions

Job summary

A leading technology firm in Toronto is seeking a Senior Machine Learning Engineer to build production-grade ML systems. The ideal candidate should have hands-on experience in deploying ML solutions using deep learning frameworks like PyTorch and TensorFlow. This role involves collaborating with cross-functional teams to drive business impact through ML applications and is a great opportunity to be part of a dynamic, growing tech environment.

Qualifications

• Hands-on experience with deep learning frameworks and deploying machine learning solutions.
• Proven experience with production-grade ML systems at scale.
• Strong problem-solving skills and ability to work in fast-paced environments.

Responsibilities

• Design, build, and maintain scalable ML systems for production environments.
• Implement and optimize deep learning models using PyTorch and TensorFlow.
• Collaborate with teams to integrate ML models into business applications.
• Develop and manage data pipelines leveraging BigQuery and Cloud Composer.
• Containerize and orchestrate ML applications using Docker and Kubernetes.
• Deploy and monitor ML solutions in Google Cloud Platform (GCP).
• Ensure high availability and reliability of ML systems in production.

Tools

PyTorch

TensorFlow

Docker

Kubernetes

BigQuery

Cloud Composer

Google Cloud Platform (GCP)

LangGraph

LangChain

Job description

A leading technology firm in Toronto is seeking a Senior Machine Learning Engineer to build production-grade ML systems. The ideal candidate should have hands-on experience in deploying ML solutions using deep learning frameworks like PyTorch and TensorFlow. This role involves collaborating with cross-functional teams to drive business impact through ML applications and is a great opportunity to be part of a dynamic, growing tech environment.